Sustainable WAN transformation with 800GE Routing

0:02 hello everyone and thank you for attending today's webinar sustainable W transformation with 800 G routing

0:09 sponsored by Juniper before we begin I will cover a few housekeeping items on

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0:58 same audience link that was sent to you earlier today I would now like to turn the event over to Sterling pering senior

1:05 principal analyst heavy reading Sterling thank you Barbara and hello

1:11 welcome everybody to sustainable Wan transformation with 800 gigy routing sponsored by Juniper uh my name is

1:18 Sterling parin and I will be the the host and moderator for today's webinar and I'm joined by two expert speakers

1:25 from juniper to uh walk us through today's content I'll introduce them here of course you'll introdu you'll hear

1:31 from them quite a bit as we go through uh first uh Amit bardage VP product

1:37 management with the automated Wan group within Juniper hi admit welcome hello

1:43 everyone uh thanks for joining today looking forward to your talk and

1:48 uh Amit will be helped by Dwayne McIntosh director of product marketing also in the automated W group with

1:55 juniper hi Dwayne welcome hi good morning thank you very much for having us

2:00 yep looking forward to this uh for everybody in the audience this is a flow

2:05 of the agenda market trends and drivers um Dwayne and I will will'll cover that

2:10 and then we'll move over to emit for most of the remaining sections silicon systems requirements converged uh

2:17 Optical routing looking at uh kind of the Renaissance of Ip over dwdm um on the software side Network

2:26 Automation and programmability we'll have some conclusions and then we should

2:31 have hopefully about 10 minutes uh for Q&A at the end so please do ask questions as we go through we'll gather

2:38 them up and and hit as many as we can um live before we close

2:43 out so let me start and set the context um one two three four four slides in so

2:51 AI we we need to talk about AI uh clearly a huge driver for a lot of

2:57 what's going on in the communications industry right now so um the AI

3:02 Revolution was seemingly launched with with the Open ai's chat GPT which kind of took

3:10 over the world in 2020 um but it really did begin a couple of years prior to that with the introduction of

3:16 Transformer models uh which is what chat GPT and and many others are based GPT is

3:22 generative pre-trained Transformer so that's the te in any of these models that we're seeing that have te and the

3:29 name are Transformer um they enable the natural language processing that we're

3:34 seeing and um all of the explosive growth that we're seeing in AI um from an analyst or

3:42 from an industry analyst perspective looking at communications um the ins and outs of how these models work themselves

3:48 is well beyond my expertise But but so we're looking at well how do these affect the network and it really starts

3:55 with the computational demands that these new um models are are placing on on compute

4:04 and that's what the the the leftand um chart shows this comes from Nvidia um

4:10 Jensen Wang just presented an updated version of this at their their conference uh in March but um this this

4:17 pretty much shows that Trend if you look on that that left line was kind of the

4:22 trajectory AI was on how much um training compute was required and it was

4:28 you know growing at about a 45 degre angle there so it's a pretty steep growth it was um uh training commute

4:35 demands in this case were increasing 8X every two two years so that's pretty significant but the real explosion was

4:42 again these Transformer models including chat GPT which is that purple line which is growing almost almost uh uh

4:50 vertically and that um is really the AI Evolution that we're talking about right

4:56 now the requirements increase 275x in in two years time so just incredible

5:03 demands on on the network so what does that mean it's it's driving massive compute and Jensen Wang talked about

5:09 this in in his keynote um xpu units whether they're gpus uh tpus the CH

5:16 tensor processing units or CPUs a massive compute and then the

5:21 interconnect for all of that and the interconnect includes um within the chip itself um

5:29 chipto chip within the rack uh connectivity connecting racks and then connectivity in the data center that's

5:36 connecting these AI clusters together um we're seeing a massive growth and interest hyperscalers ramping up in

5:44 their connectivity between the racks and the Clusters moving to 800 gig in 2024

5:50 immediate demand for that and then at conferences um around the world we're

5:55 we're certainly seeing a lot of interest in R&D going um towards a path to 1.6t

6:01 and even 3.2t so there cannot be enough connectivity uh between these these um

6:08 systems and networks within the data center itself um connectivity in between

6:14 the racks and clusters it's largely Optics based um and the focus there's a

6:19 very strong Focus here on on lowest power consumption within the data center so for folks that were at ofc um all of

6:27 the talk about linear drive pluggable off itics lpo and co-packaged Optics or CPO this is all aimed at driving

6:35 capacity and and reducing power as much as possible that's all with within the data center

6:40 itself um so what what what happens uh in the wide area network which is really the focus of what what we're going to

6:46 talk about today we know that traffic within the data center drives traffic between the data centers this is the

6:53 data center interconnect opportunity it's it's been growing very strongly for for many years and we know that when we

7:00 move to 800 gig for data center interconnect that 800 gig uh that that

7:06 um uh DCI is going to be the the number one driver for moving to 800 gig in the

7:11 wide area network the chart on the right here comes from omia uh also I should

7:17 have said the chart uh on the right on the last slide is also from my colleagues at Amia who are graciously

7:22 letting me share some of their data uh from forecast so this particular one

7:28 here shows high-speed coherent pluggable shipments through through 20 uh 28 so

7:34 this is share of coherent pluga bles um and so so what the difference between

7:39 the data center and between the data centers is the move to coherent plugable optics for the distance these are many

7:45 many kilometers whereas data center side we're talking about uh tens of meters hundreds of meters Etc uh

7:52 so while 400 gig in data center interconnect is going to be the um

7:58 primary um interface and and is currently what operators are standardizing on 800 gig

8:04 is going to grow sharply and so as a share of total highspeed units we're going to see a sharp increase of 800 gig

8:10 share through 2028 um again 400 gig is going to continue to grow in terms of its units but 800 gig is is a strong

8:19 um strong update even through 2028 uh DCI is is as I said the number one

8:24 driver it's big one but it's not just about uh DCI we're also going to see 800

8:29 gig adopted in Long Haul and core networks um these are also standardizing on 400 gig today um but operators in our

8:37 surveys and heavy reading surveys tell us that they want and need a path to 800 gig in the future one of the aspects of

8:45 of the coherent pluga bles coming out that support 800 gig that may be overlooked is is that they can also run

8:52 lower rates um other than 800 gig um particularly 400 gig and for these Long

8:59 Haul types of applications there's an interest in in dialing down the modulation so moving to a lower order

9:05 modulation over these newest generation pluga bles running them at 400 gig to get you basically 400 gig anywhere any

9:12 terrestrial network uh really in the world and the ability to even do a lot of subc applications um the the other uh

9:20 application or use case I'll call out andit will talk in detail about all of these but um router to router peering uh

9:27 within the data center so this is a Wan application but the actual um

9:33 implementation of this is is connecting routers within the data center to to Pi basically ISP to ISP and we're going to

9:40 see a migration to 800 gig for that as well uh so those will be routers which

9:45 we'll talk a lot about today with with an 800 gig interface on them uh Beyond scale uh so scale in

9:54 capacity is critical as as we've just talked about um but there's a number of

9:59 other priorities as operators look at their systems and as they look at on a network basis reducing power consumption

10:06 is is critical the lowest watts per bit is increasingly a crucial metric across

10:12 all service provider types there's a very uh acute issue within the data center that's driving this lpo and CPO

10:20 deployments but even in the wide area with coherent Optics being used there's a strong focus on on reducing power

10:28 within the Optics and with within those systems it relates to sustainability which has been a topic it also is key

10:34 for profitability um because power is a is a huge component of overall Opex within an

10:40 operator and as we look at Telecom uh specifically we're we're kind of in a in

10:45 a tough space between the early adoptions en roll outs at 5G and then coming 6G where there's going to be a

10:52 very strong focus on on reducing costs for the network so huge driver uh which gets me to the next points on capex and

10:59 Opex um very strong Focus any architectures that help Drive Lower Opex

11:04 and capex are going to be very well received and needed by Telecom operators specifically over the next couple of

11:11 years um IP over dwdm is an architecture that does exactly that this is the

11:16 integration of Optics on routers it started uh with 400 gig for a number of

11:22 reasons we've talked about on past webinars but it cannot only be relegated to 400 gig operators need to know that

11:29 IP over dwdm is also going to be available at 800 gig as well as Beyond

11:35 um the chart on the Right comes from a heavy reading survey we did last year of of network operators globally and

11:41 primarily Telecom operators in this case and I put it here just to show that operators really want to move to this

11:48 type of architecture um the top one here so over the next three years 65% of

11:53 these operators saying they want to move to coherent pluggable Optics on switches and routers that's IP overd wdm and it's

12:00 actually stronger adoption than the coherent pluga bles that they're looking at for any other uh type of network

12:05 element so very real um Trend one operator at ofc just recently told me

12:11 that I a very large operator said IP over dwdm is is inevitable for their Network um other points I'll make and

12:18 then they bring in Dwayne to kind of uh expand on some of the key trends uh but

12:24 I do want to talk about automation again we're talking about you know Network level so on the software side machine

12:29 learning as well as AI itself is going to help network operators uh reduce their their Opex specifically so a lot

12:37 of interest in that coming through in our surveys uh as well as security and reliability uh not just important but as

12:43 we survey operators one year to the next the requirements for security and

12:48 reliability are actually becoming higher uh from year to year so there's a lot of asks and requirements capacity but in a

12:55 way that's done to reduce capex Opex increase security reliability it's it's

13:01 uh quite a set of requirements folks like Juniper are building the networks that are going to uh to make that happen

13:07 so with that let me um actually before we bring in Dwayne let me let me uh go

13:12 to our first poll question and then I'll bring in Dwayne to expand on on some of the um the trends so you know we we

13:18 talked about um adoption of 800 gig in the wide area it's it's brand new

13:26 this stuff will start to ship this year curious for you as the audience what uh either your plans are

13:33 if you're a network operator or what your customer's plans are if you are selling into um service providers and

13:40 we've got a number of options here um just pick the one that fits best and

13:46 I'll push them out once we get to a critical mass deploying this year so as soon as available deployment are

13:53 planning deployments next year 2025 kind of would be what we see in our forecast

13:59 initial ramps over the next two to three years um or are you in a position where

14:04 you're evaluating but uh no plans currently or

14:10 um if 800 gig is kind of high in the sky for for you um not under consideration

14:16 at all so those are the options um let me just wait a second

14:23 here and let me push and then I may update but let me give it this push here

14:30 and uh Dwayne let me bring you to comment on on what we're seeing

14:38 um sure yeah right I I think this this makes a lot of sense um we we certainly

14:45 are seeing customers today who have 800 gig requirements core pering data C

14:52 interconnect certainly um data center implementations where um our routers are

14:59 being used in close architectures for spine and leaf roles in the data center for AI um and and I think from from

15:08 majority of accounts um they would at least say they want to Future proof

15:14 their their Acquisitions their purchases to support uh 800 G uh because they know

15:20 it's an eventuality so uh I think we certainly see about a third of the

15:25 accounts deploying today in whatever capacity uh planning next year and evaluating the in Gig technology as well

15:33 and then those that are planning to migrate within the next two to three years or make sure that their purchases

15:38 will support that transition make sense yeah yeah absolutely future proof is definitely a word we're hearing a lot

15:45 let me um push this along and um I'll let you you go from here Dwayne I'll

15:52 just one comment DNE before you start I think the surve is exactly what we are hearing uh from the customers in many

15:58 one-on-one conversations especially as it gets to some of the hypers skill use cases like core DCI um you know even you

16:07 know aggregation in some cases so with that Dwayne to you uh very encouraging

16:12 numbers from that survey all right so to to reinforce that

16:18 and it's there are a number of diverse factors that are influencing you know Rand Transformations towards 800 gig you

16:26 know of course we all know that year-over year growth for internet traffic is huge that's dominated by

16:33 video content with higher and higher definition type content uh dominating

16:38 like 80% of the traffic uh uh generally today um managed Services is e even

16:44 Rising uh with SD sdwan uh sassy managed service offerings are growing

16:51 substantially at a 32% keger um and then we see a huge market growth in data

16:57 center interconnect um and then not withstanding all of that of course uh is AI traffic explosion so

17:05 for AI data center deployments for back-end systems as well as front-end

17:11 inference uh deployments uh huge growth in model development there where we see

17:18 you know 4X related traffic growth like every two years so um uh across the WAN

17:25 as well as within the data center you know we see 800 gig requirements are very strong today for implementations

17:33 today or future proofing uh their networks to support it in the next year

17:38 two years as they migrate so it's it's really crucial to

17:45 have 800 gig capabilities uh to alleviate these Network pressure points

17:53 um traditionally we talk about core peering as being some of the first are

17:59 is to increase throughput efficiency requirements uh we talk about data

18:04 center interconnect becoming uh again a dominant uh use case where 800 gig is

18:11 required but as you can see here um we're hearing requirements or future

18:16 proof requirements for uh 800 gig requirements in in Access and

18:22 aggregation like in the cloud Metro and in Edge networks for multi-service Edge

18:27 functionality as as well of course as in data center fabric where spine Leaf architectures close architectures uh

18:34 that are implemented are getting you know higher and higher demands from the higher processor gpus like from Nvidia

18:41 and the like so you know at the end of end of the day there's really three main

18:47 pillars of of requirements that we see in these environments when you support 800 gig clearly performance right

18:54 adapting uh to 800 gig bandwidth expansion you know as required so

19:00 accounts don't do this overnight it's incremental um so they have to support

19:05 their legacy 100 400 gig interfaces and continue to grow uh so it can be done

19:12 organically as the demand occurs as you mentioned sustainability sustainability

19:17 is really key um uh sustainable efficiencies from your silicon from your

19:23 systems from how you do Automation and engineer your network on the fly with

19:28 say sdn it's critical that power efficiency space efficiency your carbon

19:34 footprint can be lowered and then uh automation so uh security uh operating

19:41 your environment efficiently or or efficiently at 800 gig speeds is no

19:48 small Endeavor so as we Implement maxc encryption as we automate these

19:54 environments you know um we want to make sure that the functionality integr

19:59 uh easily into your existing operations environment and we can enhance that with service

20:06 visibility so uh our our blueprint for this wayin transformation then kind of

20:12 Falls in these three pillars so from a from an automation perspective um

20:17 Juniper has Paragon automation um we have capabilities to look at the service

20:23 level so we can see what the service experience is from the customer so they

20:28 uh we focus on their experience and are they getting their service levels that are required open management apis and

20:36 Protocols are critical and that these are driven by open um outcomes-based uh

20:43 type models so whether it's net comp Yang um uh Telemetry uh we want to be

20:50 able to fit into these environments in a standard open way from a performance perspective of

20:56 course support for all the use cases we just discussed as they evolve in fixed

21:02 in modular form factors our Express 5 A6 again as is um a top performer s

21:10 nanometer technology we'll get into here in a second but that really enables us to support 800 gig and Beyond and and

21:18 provide the efficiency that we're looking for in these environments with coherent or non-coherent Optics and then

21:26 the last Point here is on sustainability we really look at sustainability from a multi-layer efficiency perspective uh

21:33 there's sustainability you gain within your silicon uh that you develop we have custom silicon with Express 5 um our

21:41 systems are energy efficient chassis they're designed to be as energy efficient as possible and then

21:48 operationally we support green Traffic engineering functions like with sdn to

21:53 uh uh lower our cost overall so um this is basically an overview of our

21:59 blueprint um I'm going to hand it over to Omit to drill down a little further

22:04 on this thanks oops I clicked one more uh thank you Dwayne in stalling for talking about

22:11 the big trends uh I'm going to go the other way I'm going to start with the

22:16 basics okay and then we'll talk about the more complex things we go to Silicon

22:21 we'll go to systems and we'll talk about security and automation so let's go to the fundamental thing I mean many of you

22:28 said you are going to do 800 gig uh very soon but there's one thing which is

22:35 really really important is 800 gig I say 800 gig and then I'll go to 800 gig 800 gig itself brings a lot of new things to

22:42 the table uh let's start with 800 gig so what does 800 gig bring to table for

22:47 sure it brings a 800 gig Port so that means instead of doing 2x 400 gig e you can do single port of 800 gig and reduce

22:55 the amount of Link aggregation and get more efficiency in the network but 800 gig like stalling was also mentioning

23:01 earlier brings IP over dwdm to the table you know I remember when 400 gig IP over

23:07 dwdm started to get mainstream uh many customers said will it happen in the 00

23:13 generation will it happen in the 1.60 generation the answer is yes it's absolutely happening in eern Gig and we

23:20 believe it will happen in 1.60 and 3.2t also so IP over dwdm is the one of the

23:25 most sustainable trends that will continue uh then AIML is driving

23:31 adoption of 800 gig in the data centers right the Nyx the the the nyck from the

23:38 AI clusters uh and then all the architectures behind that is going to get optimized with 00 gig over next 3

23:44 four years which means these clusters can't just sit in one single data center they have to span across data centers

23:50 and that'll drive the demand for 800 gig in the DCI for to go across the data centers also and and over time that goes

23:58 into to the core Network you know into the uh puring networks and it percolates everywhere you know from a technology

24:05 standpoint the second thing as we go to 400 gig 800 gig actually brings a lot

24:11 more when we talk about 400 gig because number one it doubles the 400 gig density right so every 800 gig Port can

24:18 be used as a 2X 400 gig and this 2x 400 gig is not just a breakout this 2x 400

24:25 gig in this case is using dual LC connectors so you can get uh you know two 400 gig literal ports from every 800

24:32 gig slot in there uh we talk about IPO dwdm again as we go to for gig with

24:39 these same ZR Optics you can go do Long Haul and Ultra Long Haul use cases at

24:44 you know 50% of power capacity power power

24:49 efficiency so lots to bring in the table for 400 gig and similarly on the 100 Gig

24:55 it doubles the density but at a much better powerful print right so lot of things that 8 G giggy brings to the

25:01 table and we believe that the customers will use these for all these different speeds and feeds and we did this

25:08 showcase this in osc this year where we had PTX 10,002 with 100 Gig 400 gig 2x

25:15 400 gig and 800 gig and 800 G ZR ports all running at the same time in in the

25:21 in the 10,002 router so this is real um next thing I want to talk about

25:27 from the ports is go to the silicon right uh before I go to Silicon a brief commentary why silicon is important you

25:34 know there was a time I would say before Co when people started to talk about

25:39 good enough right but really what happened was good enough was pretty poor because people don't think about good

25:46 enough good enough means you know just do the basic stuff but the reality is you know the Silicon is becoming more

25:52 and more important not just to networking across the board you look across the board right Apple's doing

25:57 their own silicon uh all the AI is driven discussions are driven through silicon Fest networking

26:04 is the same we believe silicon plays a huge part here from optimizing the

26:10 networks for the today and for the future and when we go to the 800 Gig Generation uh the first question is okay

26:17 what does the Silicon should look like right and we talk about silicon first thing we talk about is the througho uh

26:22 what is the right radics for the Silicon if you're doing 800 gig ports and the

26:27 Magical number tends to be okay can I do 36 ports on the chassis line card can I

26:33 do 36 ports on the fixed modular form factor you multiply 36 by 800 the

26:38 magical number is 28.8 terabit silic right um and using some of the chip

26:44 technology here like you see in this picture there are two chiplets here which are connected with short reach series and they basically be two

26:50 chiplets behave like a single piece of silicon exactly what you heard from some of the AML presentations of FL um

26:57 cutting techn te ology from a silicon perspective and we can take these two chiplets in from from a fixed form

27:03 factor for example and into the chassis line cords and we can put these two two chiplets onto the line card and do 28.8

27:09 terabit line line card so that drives really the power efficiency of the systems from that perspective and second

27:16 no limitations no limitations means that you're doing 28.8 every port every port 800 gig Port

27:23 should be capable of doing 8 by 100 2x 400 and and one 1 by 800 so that's

27:29 important from a silicon perspective and not just do that but do that in a more secure way which means

27:35 Max SEC at line rate for all speeds and feeds and all ports and once you do that

27:40 you know you can you can start to enable some of the hyperscale use cases so we talk about hyperscale use cases like all

27:47 the use cases mentioned there core puring DCI DCH aggregation EI Network these use cases will continue to drive

27:54 the growth in the bandwidth for you know many many years but what is critical to

27:59 address these use cases also is some of the capabilities the Silicon needs to have right for example uh from a scale

28:07 perspective can I support the FIB for V4 V6 scale not just for today for but for

28:13 next 10 years right because in the puring networks the V4 V6 just continues to grow so stateof the art now on this

28:20 silicon is about 20 million plus FIB for the core use case can I do the number of tunnels that's required in the core you

28:26 know can I do 100K plus tunnels for example right um so that's important from the Silicon capability perspective

28:33 um then we start to go into some of the other hyperscale use cases you know like aggregation where um um multicast is

28:41 important so protocols like beer will will simplify multicast right uh heral

28:46 Qs in is becoming important not just in the aggregation but we're also starting to see in the DC use cases where

28:53 customers want more than 8q as when it comes to DCI applications

28:59 um visibility into the networks right uh the Telemetry in line the memory can be

29:04 fungible so you can do scale for different applications depending on what the resource requirements are uh

29:11 security for things like puring uh and scale in general saying the scale uh

29:17 it's not it's not just about driving the scale from filters from ACLS from sampling rates but also doing that

29:23 without a performance hit and we've done sometimes in the past you know some

29:28 benchmarks with other things and realize that it's not easy doing scale and scale

29:35 without a performance it is something we we pride at Juniper I think this is an important part to look at when we look

29:40 at your solic the Silicon that you want to build in your networks or deploy in your networks today and the

29:46 future so that brings me to the systems right you get your silicon and you try

29:54 to understand what the Silicon can do and then we start to build the systems and in this case you know the it's about

30:00 the fixed form factors and the chassis based systems um and you drive the

30:06 industry leading through pent efficiency because the state of the art now because of the face plate is about 20 36 ports

30:12 both in the fixed form factor as well as the chassis based systems uh having that

30:19 single chip really really drives the efficiency from a power and space perspective and no limitations across

30:26 the board not just for the client Optics but also for the Cent Optics so every port is capable of doing 800 gig IP over

30:35 dwdm as we go to 800 gig there is also 400 gig which is deployed today and

30:42 still being deployed and 400 gig will be deployed for next 10 years it's never going to go away so what's important is

30:49 that there is backwards compatibility for example if you're putting a line card 800 gig line card on chassis it

30:55 should be backwards compatible with the current 400 gig line card it should be backwards compatible

31:00 without changing the fabric and with the new Fabrics so you get the full flexibility how you introduce 8 gig into

31:07 your network and finally you know with these big systems it's not just the Silicon it's also the control plane so

31:13 the combination of the silicon and the control plane drives the scale scale you know for the routes for the convergence

31:19 for the sampling and all the things you know we talked about on on the previous slide so now let me take a step back or

31:28 take step higher and go to the use cases right uh and now we start to look at the

31:34 hyperscale use cases and in these hyperscale use cases there are certain things that are important uh for example

31:42 in the core uh it's important you have scale scale from a a BP perspective

31:48 scale from a tunnel perspective the scale that's makes your core Network fully secure uh take another example of

31:55 puring uh here we talking about V4 V6 scale uh we talking of fact that you

32:01 know can you do DOS uh filtering at scale uh without a performance hit uh we

32:07 go to the AI networking here the large radex devices have started to become

32:12 really important because you can really take the large redex chassis devices in

32:17 the spine uh role in this AI ml clusters and reduce the five-stage class to a

32:22 three-stage class and the value for that is you know you start to eliminate actually of Optics from the uh from the

32:29 state from the five as you go from the five stage to St three stage and also it drives a better power footprint because

32:35 now you using much fewer devices in the network and and we talk keep keep going

32:42 on and on on the other use cases like DCI DC Edge Where and Metro aggregation

32:47 where VPN start to become important because you have multiple customers in this scenario and isolating those

32:54 customers in a multi- tency situation in the data center but same thing in the Metro aggregation with L2 L3 vpns uh

33:01 evpn and advanced qos capabilities with heral qos so when you get a silicon that

33:09 drives all these use cases for the hypers scale I believe this is really really uh useful for the customers

33:16 because you could take one Tool uh and use it in many different use cases uh because that's less certification less

33:23 qualification and also uh driving you know advantages from a sparing

33:30 perspective so with that St let me pass it to you for one more survey

33:35 question yes thank you so this one we wanted to get into

33:42 the use cases so AIT great job going through the different use cases that are kind of on the table as operators move

33:47 to to 800 gig so we want to hear from you uh the audience on which use cases

33:55 are the top requirements for for 800 and in this one it's actually uh choose

34:01 all that applies so you can you can select hopefully you can select multiple um and he's he's kind of walked through

34:07 them all but core um peering data center interconnect

34:12 or uh or data center edge but the things around connecting data centers corn Edge

34:17 um Metro all all the data center interconnect options there Metro aggregation um or uh AI which is the

34:25 intra data center um um uh application and let

34:31 me give it a moment U

34:36 maybe AIT I'll put you on the spot here as we wait them out um what would your

34:43 top two be what do you think are the top two that are going to come in and then I I'll push out and see see how it goes

34:51 top two are going to come in as Gore and DCI and three AI networking clusters all

35:00 right so you gave three let me push him here we're about 40% of the audience give it a shot core DCI so yeah

35:09 so DCI and all its forms Top by Fairmount then core and then for this

35:15 audience the AI uh a bit less although this is a Wan webinar so take that uh

35:22 but yeah any any other thoughts or comments on this uh very interesting to see the met

35:27 aggregation numbers uh that's like almost a third of people think Metro agregation would be one of the

35:33 interesting use cases and I agree because as we look at the densification uh of metros with the 5G um yes this and

35:42 5G becoming more virtual this starts to make sense because now not just doing

35:48 aggregation it's basically a data center sitting in the Metro yeah good good point admit I mean

35:53 I I kind of glossed over Metro aggregation myself I was a bit you know thinking that a bit longer term but

35:58 maybe these results are saying I should uh look at that a bit more seriously in the future so yeah always good stuff

36:04 from these polls let me uh push to the next one in the interest of time and I believe you're you're still up right yes

36:11 I'm still up thank you okay so like we said uh as we go to the 800 Gig

36:18 Generation and we did some numbers on our site what is the value going to be

36:23 from a sustainability standpoint and and all these numbers are well wetted out by

36:30 by Juniper with our products um for example clearly I mean it's simple you

36:35 you double the density in the same space you get 50% uh uh space efficiency with

36:40 800 gake Solutions um for the Silicon uh we going to see at least 49% Improvement

36:47 of wats perur gake but silicon is only just one part of this because as you get this efficiency on the Silicon the other

36:54 things that take power uh you know like the fans and all that stuff and those fans start to become more efficient as

37:01 the Silicon power goes down so we're starting to see for example on a PTX 102

37:06 uh driving 75% power efficiency as compared to the previous generation and we'll start to see the

37:13 same thing on the model form factors also we don't have the numbers for model form factors yet uh we're still

37:19 measuring them but just from a Asic perspective we know it drives 77%

37:24 efficiency when you take all the U silicon and forwarding silicon as well as the Silicon that goes into the fabric

37:31 but that's not all we can take all this stuff because we have we we have these

37:37 platforms which are capable of doing a lot but we can also turn off a lot of stuff which is not being used and we can

37:44 also optimize the network based on the op how the network is being used and drive even more savings with optim cap

37:52 capacity optimization with Jer Paragon driving 27% on top of everything that's on the left

37:58 so I do believe we are moving to a world where things start to get more

38:03 sustainable and we're going to use a lot of automation uh tool tooling to make it even

38:09 better um one of the Technologies my favorites I know it's one of Sterling favorite to is IP over dwdm you see

38:18 different naming for this we at Juniper call this C converged Optical routing

38:23 architecture what this brings to the table as compared to the previous generation is that used to be it still

38:28 is there there is routing and there is transponders right these are two different uh things like ships in the

38:35 night and we've been trying to do multi-layer for so long but it's really complex to do when you have IP layer

38:43 which is actually quite uh you know standards based but you have the optical layer which is actually quite

38:48 proprietary implementation from all the optical vendors as we go to IP over dwdm

38:53 but every routing Port is capable of supporting dwdm this wasn't the case in the past but it's definitely the case in

38:59 400 Gig Generation it's the case in the 800 gig and will be the same in 1.6t and and future this is where everything is

39:06 heading from a IPO or dwdm perspective so as we get there you know we start to

39:11 merge dwdm onto the routers we eliminate one control plane completely we got so

39:17 much you know Simplicity now in the network we also start to make things more efficient because it used to be

39:23 that you had uh extra capacity being provision on the optical side extra capacity on the routing side now we can

39:31 just do the planning at a single layer and really really optimize things across the network and some of the numbers at

39:36 the bottom that you can see with did these numbers uh taking a transponder in

39:42 a outer and putting uh optic DWD optic on router we start to see 54% the power

39:49 savings 77% space savings and 55% carbon footprint savings I think the value

39:54 proposition is pretty significant and let me just demystify this in a very

39:59 very quick way like what does 800 gig IP over dwdm brings to the table a lot a

40:05 lot right now because literally you can use this 800 gig ZR Optics and build any terrestrial Network without using any

40:12 transponder so we got a there's some reaches I mentioned here like 800 gig for Metro applications going up to 500

40:21 kilometers uh you can as then you can start trading speed with distance you want to go longer like Long Haul orinal

40:28 1,000 kilometers you can go to 600 gig uh with the same optic and you can go to ultra Long Haul applications at 400 gig

40:36 exactly with the same optic so now you can use the same optic same routing platforms and and deploy any terrestrial

40:44 network with IP over dwdm in in the 800

40:50 generation and that brings me to take a step by let's just treat the whole rter

40:57 as a black box what does that mean and the question really is when you have a black box how do you automate that black

41:03 box my favorite example sometimes is Tesla which is you know we have a car now which drives Telemetry and and

41:10 everything can be programmed on the car shouting is basically the same everything can be programmed right

41:15 because we provide those we build that stuff in the hardware for programming and everything

41:22 can be all the data can be streamed out from the routing platforms uh so this is

41:27 this is the commitment we have from a from a standardization perspective it's good to have standardized models uh and

41:34 this is why we are continue to invest in open config but we also know that the standard models they getting better but

41:42 they're not complete yet so we have native data models and the standard-based models uh to to drive uh

41:50 the the programmability of the platforms and then we look at the from a Telemetry

41:55 perspective uh we got to use some of the standard uh you know Services uh grpc services so all the Telemetry can be

42:02 ingested by you know a paragon automation or could be open-source collectors or you know customers own own

42:09 collectors for collecting the data from the network and we just launched uh

42:15 things like Telemetry Explorer and a Yang data model Explorer where as the code is written uh uh for uh providing

42:24 the Telemetry and the young young models it can be exported to a a online tool

42:31 where customers the programmers can look at this tool and see what is available and in what release from a Telemetry and

42:38 young models perspective you know now if you have programmers who are trying to automate the networks that's the tool to

42:46 go to because you really don't need to know what routing is because for the programmers really I need to know how to

42:52 program it I need to know what data inest to run my AI models and close loop automation

42:58 and this is exactly what we're using to bring some of these outcomes from a juniper Paragon suit perspective U you

43:07 will see Paragon slides I don't have too many Paragon slides here but if you see Paragon slides you will see Paragon has

43:12 the capability to do all the things from a life cycle perspective it starts with planning uh starts with Device

43:19 onboarding uh Service proping uh optimization uh AI Ops with ingesting

43:26 all the data from from the network but in the end the question is what are the outcomes that are important for

43:33 customers right we do all this with functionality but we also want to measure the outcomes with Paragon and

43:39 some of the things that we measuring the outcomes are listed on this slide for example can we onboard the devices

43:45 quickly you know most of the times when the devices are deployed the people who Dr and stack stop are not the guys who

43:52 are experts so can we automate that uh after the racking and stacking to on to onboard the device onto the network can

44:00 we go to zero unplanned outages this is driven by things like active Assurance so every device in the network can be a

44:07 sensor which is actively uh looking at uh things in the network and making

44:13 decisions before failure even occurs um so this is an important aspect and me

44:19 once you have active Assurance you can do a lot more things then just proactive monitoring but also when things fail and go back into service you can actually uh

44:27 look at that if things are working before you put those things back into the service so lot of capabilities can bring come to the table um with

44:35 autonomous cap capacity Auto automation yeah most of the networks you know the

44:40 changes in the networks are not very frequent you make the changes you provision the networks 90% of the time

44:46 the automation tools are going to work due to optimization right and and this is where you uh the goal here is to

44:54 optimize the resources uh based on the usage because you most networks will

45:00 have different usage during the day and the night and based on that you can turn on and off things and then go to green

45:06 networking the green networking has multiple things I can turn on and off things based on the usage right I can

45:13 also route things through the most power optimized parts of the network right for

45:20 example if some parts some devices are running at uh 70% uh work uh throughput

45:27 some other devices are running at 20% throughput it's actually better to move that traffic to the 20% because now

45:34 overall footprint of network footprint of I mean the power footprint of the network can go down so so lot of

45:40 outcomes it can be driven here but in the end the goal is to simplify things to move things faster and to drive uh

45:48 efficiencies from a both optimization perspective and from a power management

45:54 perspective and coming to one of the last bullets that stalling had about security I think we

46:01 can all agree that security is fundamental to the networks right

46:07 security is fundamental to any part of the business today and and we know security is cyber security is top of

46:13 mind for everybody every CIO every CTO in the world when it comes to the networking infrastructure the routers

46:21 are not always sitting in a controlled facility uh many times they're sitting

46:26 in a party facility in a Colo in a place you actually don't control things hence

46:31 the infrastructure uh security really becomes important which means you know having things like TPM 2.0 which me

46:39 which means your router Hardware is coming from the right vendor which means the software is not is not tampered so

46:46 it's important you know to have those capabilities from a security perspective once you do that then you start securing

46:51 your line which is okay any data that goes out of a router can encrypt it and

46:56 line rate Max becomes critical there now we have secured the infrastructure we

47:03 secured the line there are still vulnerabilities right because the traffic that's coming in is kep

47:09 sometimes with the malicious attacks it's you could can drive DS attacks so

47:14 here uh two things come to the uh uh to the rescue one when these attacks are

47:20 happening can you detect them fast right uh that's number one which means the sampling rates from the n Forks are

47:27 going to be important uh number two once those attacks are detected can you actually provision the network really

47:33 really fast to to prevent those that's where you know fast provisioning of the

47:38 filters is really really important and number three uh can you actually uh be

47:44 very specific here because in these filters we're not just looking at five tle can I look deeper into the payload

47:51 and prevent that malicious traffic so answer is yes this is where we be

47:56 heading with Express 5 um and with the platform architecture to to full

48:03 Hardware security Max encryption and and a fully secure you know from a DS

48:09 attacks preventing the DS attacks perspective and with that uh I'm going

48:15 to come to my final two slides uh so Dwayne talked about about this a little

48:20 bit so I may just talk about this so we have we announced our 800 Gig Generation

48:26 platform both fixed F factor and uh for for the model chassis uh we you've seen

48:33 some of these already ATC and Mobile World Congress uh if if you're one of the customers you already have it uh in

48:40 your Labs um and and uh we are driving 28.8 terabits on the fix form factor uh

48:47 and 28.8 terab per line card on on the model chassis with three form factors fourth slot eighth slot and 16th

48:54 slot and on the chassis the new line cards are backwards compatible uh with

49:00 the current 400 gig line cards you can upgrade without changing the fabric uh you can upgrade with changing the fabric

49:06 in which case you will get the full throughput of the new line cards uh the scale and capability that we talked about in terms of FIB tunnels HQ H Qs

49:15 everything is going to be available uh on these platforms and we are very very excited about this and very excited to

49:21 see you know this surveys results where most of the customers are looking to

49:26 move move to towards 800 gig but at the same time 400 gig is going to be there for a long long time and this inop is

49:33 super super important um like I said uh these are

49:39 some of the customers you know we have been working with and they these are these are the publicly referenceable customers but there are large set of

49:46 customers which is not in this list so I don't want you to feel bad because this is something we can't public reference

49:51 on this onless we have agreement with you uh 400 gig has been uh you know deployed very widely already we at

49:59 junipur are leading this transition and we have word of Confidence from customers that 800 gig is going to be

50:04 critical for them and and this a 400 gig and 800 gig interop is going to be critical for them and we'll have to

50:11 continue to working uh with you uh to make this happen in a sustainable

50:17 automated and secure way so that was my last slide let's go

50:24 back back to you and see what questions we might yep absolutely thank you uh thanks both

50:31 Dwayne and AIT and we do have a well done on timing uh we got about 10 minutes left so we do have a couple of

50:38 questions in but um for the audience if you have questions Now's the Time to

50:44 fire them away and we'll see what we can uh address here in the time left um let me

50:50 start with um the comments or your comments

50:57 Adit about no limitations in the 800 gig

51:02 implementation um looks like they're they're just looking to understand uh

51:07 what the industry limitations are around 800 gig right now um so is it kind of

51:12 like a I don't know maybe a a litus test or something like you

51:18 know just just to explain what I guess what what the um what no limitations

51:23 means and and I guess what it what it doesn't yeah thanks so like I think one of the

51:30 slides it said what does 800 gig bring to the table right so 800 gig brings to

51:35 the table 800 gig uh 800 gig IP over dwdm 2x 400 8 by 100 and also 10 gig but

51:44 let's stick to the higher rates it's important that every port is capable of doing all of them uh because we do see

51:51 sometimes people talk about 800 gig but they don't support 800 gig e you know what that means is you know I going to do DW efficiently uh uh if you if if you

51:59 don't support 800 gig in every port um we do see sometimes people talk about uh

52:05 uh 400 gig 2x 400 gig but they really not able to support uh the two LC

52:11 connectors uh which means um probably you can still do 2 by 400 gig but with

52:17 not the right connectors uh from a 400 gig perspective and then we start to see some folks talk about limitations like

52:23 what ports can you do IP day versus not so I think those those are some of the limitations I was talking about it's

52:29 really really good to not have those limitations so you get the full flexibility and take the advantage of

52:34 8800 gig for all the value proposition that 800 gig brings to the

52:40 table great yeah thanks the

52:45 um yeah I had a question myself but we've got let me uh hold up on me we'll

52:50 get these in and and then see if it comes up um

52:59 the yeah maybe maybe this one uh again this is well this one's looking at the um the the Silicon comments um and

53:07 somebody's interested how do you support mix mode operation both 400 and 800 gig

53:13 interfaces uh concurrently uh okay thanks so this goes

53:19 back to the design uh of the Silicon um so the so the Silicon is uh

53:25 designed where we have this is basically 100 Gig s technology as we go to 800 gig

53:31 so every port has 8 by 100 Gig sis uh routed to it uh and and using that uh

53:40 you can we can we can drive uh through a software configuration 800 gig E port

53:45 because with 8 by 100 Gig cies uh we can drive 2x 400 gig and with with the max

53:51 behind that to do two ports of 100 Gig and similarly we can do for for 100 Gig because of the the the way the Silicon

53:58 the S technology in the Silicon itself is designed um allows to do the mix mode

54:04 of 400 gig and 800 gig and every port is individually configurable without any impact from how the other Port is

54:12 configured makes sense so the 100 Gig sir yeah I mean at ofc there was a lot of talk about moving to to 200 gig um

54:21 for very specific within the data center kind of I don't know if off topic but just curious how that Thinking Out Loud

54:28 how that relates to to what you're doing with with a product that's uh addressing

54:33 the the WAN applications will the do would you actually reduce some of the flexibility moving to 200 gig CS or is

54:41 it even a road map issue as far as Juniper is concerned yeah we are committed to 1.60

54:49 let's let's say what does 200 gig cies bring to the table 200 gig cies will bring 1.6 to the table uh we are

54:55 committed to 1 60 uh without diverging all the details there will be an Express cicon in that will drive uh that

55:02 transition um and again same thing important as we go to 1.60 not to have

55:09 the same limitations so you have uh silicon is designed for all the uh Port

55:15 uh speeds and feeds for 200 gig 30s um and similarly as we go from 800 G 1.6t

55:21 we we follow the same Concepts as industry um without any limitation

55:26 again yep great um another question came in actually

55:33 before I do that let me just remind there there should be a brief survey that pops up for the audience just uh if

55:39 you could please fill that out before we close out uh we we do gather up and and use that feedback to help with our

55:46 webinars um this question um and Dwayne feel free to to

55:52 to uh to weigh in as well this one um how important is interoperability for

55:57 800 gig Optical interfaces for Metro and for regional reach um a big

56:04 question I get asked as well um maybe admit if you want to start with that and Dwayne if you have some thoughts as

56:12 well I think let's see what does interoperability mean right U so

56:17 interoperability means let's start with 400 G before we even go to 800 gig in the 400 gig we do as industry we draw

56:25 the standard ation to 400 gig ZR ZR plus and Z Plus Zer DPM right uh and what

56:33 that means is that I can have a juniper 400 gig optic on one side and I can have

56:40 a third party 400 gig optic on the other side and you don't have to think about it uh if these will interrupt on the

56:47 line as long as you uh you using the standard modes they will interrupt right

56:53 um and that's important because otherwise you got into very best Boke scenarios and uh uh it may or may not

57:00 work uh you know in the field same thing goes to 800 gig is that the

57:07 standardization of these modes is important and uh and what that gives us is in in the generation is the same

57:14 thing a peace of mind that that your operations teams does not have to think

57:21 uh about you know is this interoperable or not and I believe this is very important because some vendors might

57:29 look at proprietary modes and stuff like that I think that mostly add add things for complexity sake and honestly those

57:35 proprietary modes end up taking more power than it's required for the applications so ask me I think

57:42 interoperability is something the biggest goal that we need to adapt in the industry um and if there are some

57:48 special things that are required let's make it interoperable yeah I I totally agree um

57:54 and and I think um uh couple weeks ago we had the we had ofc2 24 and oif and ea

58:03 uh both had a tremendous number of demonstrations multi multivendor environments with coherent Optics 400

58:10 800 gig coherent Optics from multiple vendors that were in our PTX 1000002

58:16 that we just announced that we showed you today and it worked beautifully um they were they were all standards

58:22 compliance uh standard compliant and uh you know even 800 gig Zero Solutions

58:29 were demonstrated so it was exciting to see and I think the last couple of years we've seen you know that uh

58:36 demonstration and I think we had 11 or 12 different co coherent Optics vendors

58:44 plugged into our our router um and we showed interoperability and it's the

58:49 flexibility for CS support as well as there so uh really exciting how fast

58:56 markets moving and how you know the standards bodies have really helped to create uh this type of interoperability

59:02 that I think at the end of the day the customers win yeah glad glad you mentioned the oif

59:08 demo uh Dwayne um I um we did a video with with the oif and and with juniper

59:15 and that should be out soon so um on exactly that the the massive amount of

59:20 interoperability demonstrated around the uh the coherent Optics specifically in that case uh great let um we are at the

59:27 top of the hour so uh we'll we'll close out here but I I want to thank um of

59:33 course Dwayne and Amit and Juniper for sponsoring and presenting and thank you to the audience for attending and for

59:39 your your questions thank you everybody uh and have a great day bye thank you

59:45 thank

59:55 you

1:00:24 e but