>> Instructor: ~From around the globe.
It's the Cube with digital coverage
of AWS reinvent 2020 sponsored by Intel, AWS
and our community partners.
>> Everyone, welcome back to the Cube's coverage
of AWS reinvent, Amazon web services, annual conference.
The Cube is normally there in person,
this year we can't be, it's a virtual event.
This is the Cube virtual.
I'm your host of the Cube, John Furrier.
Trish Damkroger, VP of GM and GM
of the high performance computing team at Intel
is here on the Cube.
Intel big part of the Cube every year.
Trish, thank you for coming on.
We're remote, we can't be in person.
Good to see you.
>> Good to see you.
>> I'm really impressed with reinvent
has it grown from kind of a small show eight years ago
to now kind of a bellwether
and every year it's the same story
more scale, more performance, lower prices.
This is kind of the Intel cadence that we've seen
of Intel over the years, but high performance computing
which has been around for a while has gotten much
more mainstream thinking because it's applying now to scale.
So I want to get your thoughts
and just set the table real quick.
What does high performance computing
mean these days from Intel and how does
that relate to what people are experiencing?
>> High-performance computing.
Yes. It's been traditionally known
as something that's,
in the labs and the government, not used widely
but high-performance computing is truly just changing
the world is what you can do.
COVID is a great example of where they've taken.
High-performance computing to speed
up the discovery of drugs and vaccines for COVID-19.
They use it every day,
whether it's making Pampers or Clorox boxes
or those bottles so that they,
when you drop them they don't break
to designing airplanes and designing Caterpillar tractors.
So it is pervasive throughout
and sometimes people don't realize
that high-performance computing infrastructure
is kind of that basics that you use whenever
you need to do something with dense compute.
>> So what's some examples of workloads?
Can you just share, I mean, obviously Xeon processor
we've covered that many times,
but I mean from a workload standpoint,
what kind of workloads are high-performance computing
kind of related or enabled or ideal for that's out there?
>> Right, yeah.
The Xeon scalable processors are the foundation
for high performance computing.
If you look at what
most people run high-performance computing on it's Xeon.
And I think that it's so broad.
So if you look at seismic processing
or molecular dynamics for the drug discovery type work
or if you think about open foam for fluid dynamics,
or different financial trade service,
fast frequency trading or low,
I can't even think of that word.
But anyway trading is very common
using high performance computing.
I mean, it's just used pervasively throughout.
>> Yeah, and you're seeing the clarification of that.
I want to get your thoughts on the next question is,
it's not just Intel hardware, you mentioned Xeon
but HPC in AWS, we're here at re-invent.
Can you share how that plays out?
What's your take on that?
'Cause it's not just hardware.
Can you just take a minute to explaining the relationship?
>> Right. Right.
So we definitely have seen the growth
of high-performance computing in the cloud
over the last couple of years.
We've talked about this for, probably a decade.
And we've definitely seen that shift.
And with AWS, we have this wonderful partnership
where Intel is not only bringing the hardware,
like you say the Xeon scalable processors
but we're also having accelerators.
And then on that whole software ecosystem
the way we work closely with our ISV and OSB partners.
And when we bring not only compilers
but also analyzers in our full tool suite
so people can move between an on-prem situation
to a public cloud, like AWS seamlessly.
>> So talking about the developer impact
'cause I'll say it's at learning show reinvent.
There's a lot of developers here.
I'll see mainstream.
You seeing, obviously the born in the cloud,
but now, you're seeing large scale enterprises
and big businesses.
You mentioned financial services
from high-frequency trading to oil and gas.
Every vertical has a need for cloud
and what you should be traditionally on premises compute.
So you have, you're kind of connecting
those dots here with AWS.
What is some of the developer angle here?
Because they're in the cloud too.
They want to develop,
how does the developer engage
with you guys on the HPC and Amazon?
>> Right, well, there's a couple ways.
I mean, so we do work with some of our partners
so that they can help move those workloads to the cloud.
So an example is six nine
which recently helped a customer successfully port
a customized version of the
in car model for prediction across scales.
So they chose the C5 nine 18 X large incidents type
because this is what really delivered
the highest performance
and the lowest price per compute ratio.
Another great example is PKI,
which is a partner out of the UK.
Has worked with our customers to implement AI in retail
and other segments running on Intel instances of the EC2.
So I think these are just,
so you could have people help you migrate
your workloads into the cloud
but then also one of the great things
I would like to talk about is AWS
has come out with the parallel cluster
which is an Intel select solution,
which really helps ease that transition
from on-prem to cloud.
>> That's awesome.
Let's get into that parallel cluster.
And you mentioned Intel select solution program.
There's been some buzz on that.
Can you take a minute to explain what that is?
>> I mean, the HPC has a reputation
of being hard and the whole philosophy
behind the Intel select solution is to make it easier
for our customers to run HPC workloads
in the cloud or on-prem.
And with the Intel select solution
is also about scaling your job across
a large number of nodes.
So we've made it a significant investment
into the full stack.
So this is from the Silicon level all the way
up to the application level so
that we ensure that your application runs best on Intel.
And we bring together everything that you need
into basically it's a reference design.
So it's a recipe where we jointly created it
with our ISV and OSB partners
and our open source environment
for all the different relevant workloads.
And so Amazon web services
is the first cloud service provider
to actually verify a service such
as Intel select solution.
And this is, amazing because this truly means
that somebody can say it works today on-prem
and I know it will work that actually the same in AWS cloud.
>> That's huge.
And I want to just call that out
'cause I think it's worth noting.
You guys just don't throw this around,
like in the industry
like doing these kinds of partnerships.
Intel has been pretty hardcore on the quality.
And so having a cloud service provider kind of go
through the thing it's really notable.
You mentioned parallel cluster deal.
What is, can you just tie that together?
'Cause if I get this right the Intel select solution
with a cloud service provider, Amazon
is a reference design for how to go on premise
or edge or wherever it is to cloud in and out of cloud.
How does this parallel cluster project fit into all this?
Can you just unpack that a bit?
>> Right, so the parallel cluster basically
it's the parallel cluster Intel select solution.
And there's three instances that we're featuring
with the Intel Xeon scalable processor
which gives you a variety of compute characteristics.
So the select solution gives you the compute,
the storage, the memory, the networking that you need.
It says the specifications
for what you need to run an optimal way.
And then AWS has allowed us to take some
of the C5 or some of the instances.
And we are I'm on three different instances,
we're on the C5N instance,
but that's for your compute optimized workload.
We're on the M5 instance and that's really
for a balanced between higher memory per core ratio.
And then you have your R5N instance, at AWS
that's really targeted for that memory intensive workloads.
And so all of these are assessable
within the single AWS parallel cholesterol environment
and it's at scale and it's really your choosing
of what you want to take and do.
And then on top of that,
they are enabled with the next generation AWS nitro system
which delivers a hundred gigabits
of networking for the HPC workloads.
So that is huge for HPC.
>> I was going to get to the nitros my one of my top questions.
>> Okay.
>> Thanks for clarifying that.
I'm old enough to remember the old days when
you had the Intel inside the PC, a shell
of a box and create all that great productivity value.
But with cloud, it's almost like we're seeing that again.
You just hit on some key points you have
this is HPC is like memory, you got storage
you've got networking and you've got compute.
All of these things kind of all kind of working together.
If I get that right, you just kind of laid that out there.
And it's not an Intel has to be Intel, everything
your Intel inside the cloud now.
And on-premise, which is the edge.
>> A hundred percent.
>> There is no on-premise anymore.
It's cloud operations if I get this right
because you're essentially bridging the two worlds
with the chips.
You're bringing on premise
which could be edge, a big edge
or a small edge and in cloud, is that right?
I mean, this is kind of where this is going?
>> Yeah, so I mean, what I think about,
so a lot of the the usages for HPC in the cloud
is burst capacity.
Most HPC centers are a hundred percent
not a hundred percent 'cause they have to do maintenance,
but 95% utilized.
So there is no more space.
And so when you have a need to do a larger run
or you need to have something done quickly,
you burst to the cloud, that's just what you need to do now.
I mean, or you want to try out different instances.
So you want to see whether maybe
that memory intensive workload would work better,
maybe in kind of that R5N instance.
And that gives you that opportunity to see
and then also, maybe what you want to purchase.
So truly we're entering this hybrid cloud bottle
where you can't that the demand
for high performance computing is so large
that you've got to be able to burst to the cloud.
>> I think you guys got it right.
I'm really impressed.
And I like what I'm seeing.
And I think he's talked about earlier at the top
of the interview, government labs and whatnot.
I think those are the early adopters
because when they need more power and they usually
don't have a lot of big budgets,
so a little max out and then go to the cloud,
whether it's computing, what's going on in the ocean
and climate change all these things that they work on
that need massive compute and power.
That's a pretext to enterprise.
So if you kind of connect the dots,
you're kind of right in line with what we're seeing.
So super impressive.
Thanks for sharing that,
final thoughts on this is that, performance.
So, okay, the next question is, okay, all great.
You're looking good off the tee or looking
down the road clear path to success in the future.
How does the performance compare
in the cloud versus on-premise?
>> It could be well, and that's one
of the great things about the Intel select solution
because we have optimized that reference design
so that you can get the performance you're used
to on-prem in the AWS cloud.
And so that is what's so cool, honestly,
about this opportunity.
So we can help, that small and medium business
that doesn't maybe have this resources
or even those industries that do.
And they know they're already a reference
or using that modeling SIM reference design
and they can now just burst to the cloud
and it will work, with the performance they expect.
>> Trish, great to have you on great insight.
Thanks for sharing all the great goodness from Intel
and the AWS final thoughts on the partnership.
We're not in person.
And by the way, Intel usually has a huge presence,
the booth is usually right behind the Cube stage,
which you guys sponsor.
Thank you very much.
Great to always partner with you, great party.
You sponsor the replay, which is always great.
And it's always great party
and great partnership good content.
We're not there this year.
What's the relationship like?
Can you take a minute to explain your final thoughts
on Amazon web services and Intel?
>> Yeah, we have a long-term partnership
14 plus year partnership with AWS.
And I mean, I think it's with
the taking Intel select solution,
it's going to be even a richer partnership,
we're going to have in the future.
So I'm thrilled that I have the opportunity to talk
about it and really talk about how excited I am to
be able to bring more HPC into the world.
It's all about the democratization
of HPC 'cause HPC changes the world.
>> Well, Trish, congratulations
on the select program with AWS
and the first cloud service provider.
Really is a nice directionals indicator
of what's going to happen.
The future is laid out, of course, Intel is in front.
Thank you for coming, I appreciate it.
>> No, thank you, John.
>> Okay. This the Cube's virtual coverage cube virtual.
We're not in person.
AWS re-invent 2020 is virtual three weeks.
We're over the next three weeks
we're going to bring new coverage.
Of course, cube live in studio in Palo Alto
we'll be covering a lot of the news
stay with us for more coverage after the short break.
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