(instrumental intro music)
(instrumental intro music)

(rocket whoosh)
(rocket whoosh)

>> Hello, everyone.
>> Hello, everyone.

Welcome to theCUBE's coverage of High Performance 2023,
Welcome to theCUBE's coverage of High Performance 2023,

covering everything,
covering everything,

HPC, machine learning, AI,
HPC, machine learning, AI,

high-performance analytics and quantum computing,
high-performance analytics and quantum computing,

part of ISC 2023 CUBE coverage.
part of ISC 2023 CUBE coverage.

Today's topic is cloud for HPC.
Today's topic is cloud for HPC.

We've got two great guests,
We've got two great guests,

Shervin Sammack with Dell
Shervin Sammack with Dell

and Andrew Lee with Rescale Partner,
and Andrew Lee with Rescale Partner,

Silicon Valley startup, hot startup.
Silicon Valley startup, hot startup.

Shervin, Andrew, thanks for joining the program.
Shervin, Andrew, thanks for joining the program.

>> Thanks for having- >> Thank you for having us.
>> Thanks for having- >> Thank you for having us.

>> You know, I love HPC, I love the cloud,
>> You know, I love HPC, I love the cloud,

how it's brought that to the forefront in all applications.
how it's brought that to the forefront in all applications.

High performance is table stakes now,
High performance is table stakes now,

certainly with cloud scale.
certainly with cloud scale.

But now you've got machine learning,
But now you've got machine learning,

you've got a lot of other things going on,
you've got a lot of other things going on,

more emphasis on silicon, chips.
more emphasis on silicon, chips.

All this action coming in and cloud driving it.
All this action coming in and cloud driving it.

I want to get your take on it.
I want to get your take on it.

We'll start with you, Shervin.
We'll start with you, Shervin.

The cloud scale, HPC, what's it all about?
The cloud scale, HPC, what's it all about?

What are the key issues right now
What are the key issues right now

that's given this market a boost?
that's given this market a boost?

>> So, yeah,
>> So, yeah,

one of the most important issue in HPC
one of the most important issue in HPC

after actually pandemic, what happened,
after actually pandemic, what happened,

is the complexity of HPC.
is the complexity of HPC.

So what the value of the cloud here
So what the value of the cloud here

is it provide the flexibility.
is it provide the flexibility.

So for the customer that's having issues
So for the customer that's having issues

putting new data center,
putting new data center,

they have issues with the real estate,
they have issues with the real estate,

either it's going to be the cooling issue or power issue
either it's going to be the cooling issue or power issue

and also just buying the infrastructure.
and also just buying the infrastructure.

We are seeing the cloud provides much more value here.
We are seeing the cloud provides much more value here.

You can start with very small
You can start with very small

and then scale it as your business scale.
and then scale it as your business scale.

So that's pretty much it.
So that's pretty much it.

>> Awesome. I got some questions for you.
>> Awesome. I got some questions for you.

Shervin, I'm going to come back to you.
Shervin, I'm going to come back to you.

Andrew Lee, Rescale is the company,
Andrew Lee, Rescale is the company,

Silicon Valley startup, growing,
Silicon Valley startup, growing,

partnering with Dell here.
partnering with Dell here.

Take a minute to explain what Rescale does.
Take a minute to explain what Rescale does.

We'll get in some of the questions.
We'll get in some of the questions.

>> Yeah, so Rescale,
>> Yeah, so Rescale,

we specialize in HPC built for the cloud.
we specialize in HPC built for the cloud.

With the advent of machine learning
With the advent of machine learning

and artificial intelligence,
and artificial intelligence,

especially with ChatGPT,
especially with ChatGPT,

more and more users are doing machine learning
more and more users are doing machine learning

to do training in neural nets,
to do training in neural nets,

which actually utilizes a lot of frameworks
which actually utilizes a lot of frameworks

that high performance computing allows.
that high performance computing allows.

Rescale here makes HPC for the cloud very simple
Rescale here makes HPC for the cloud very simple

for scientific users and engineers
for scientific users and engineers

to get on cloud resources.
to get on cloud resources.

And, basically, be virtually unblocked
And, basically, be virtually unblocked

using a multi-cloud infrastructure.
using a multi-cloud infrastructure.

>> You know, the interesting thing is
>> You know, the interesting thing is

is I want to get your thoughts as we talk about the cloud.
is I want to get your thoughts as we talk about the cloud.

You got the hyperscalers, for instance.
You got the hyperscalers, for instance.

What's the,
What's the,

you know, what's going on with the hyperscalers?
you know, what's going on with the hyperscalers?

How does your cloud for HPC offering
How does your cloud for HPC offering

differ from the competition?
differ from the competition?

>> Yeah, so our offering,
>> Yeah, so our offering,

we do have some partnerships as well
we do have some partnerships as well

with all the hyperscalers as well.
with all the hyperscalers as well.

But what's unique is that it's multi-cloud
But what's unique is that it's multi-cloud

along with utilizing various-style infrastructure.
along with utilizing various-style infrastructure.

And that allows scientific and engineering users
And that allows scientific and engineering users

to utilize the most optimal infrastructure of their choice.
to utilize the most optimal infrastructure of their choice.

You never want to actually
You never want to actually

be locked in to any particular vendor,
be locked in to any particular vendor,

because your scientific engineer workloads
because your scientific engineer workloads

could be very specialized.
could be very specialized.

And a lot of times,
And a lot of times,

especially with the explosion of architectures,
especially with the explosion of architectures,

you know, GPUs, CPUs, FPGAs,
you know, GPUs, CPUs, FPGAs,

different types of vendors and processors,
different types of vendors and processors,

it makes the flexibility and choice
it makes the flexibility and choice

that much more important.
that much more important.

>> Yeah, with super computing,
>> Yeah, with super computing,

you got super cloud,
you got super cloud,

which we call multi cloud, hybrid cloud
which we call multi cloud, hybrid cloud

but it's really hyperscale.
but it's really hyperscale.

And then super apps,
And then super apps,

AI infused, you're seeing AI enabled driving a lot of that.
AI infused, you're seeing AI enabled driving a lot of that.

So a nice super layer kind of stack emerging.
So a nice super layer kind of stack emerging.

But I have to ask you,
But I have to ask you,

'cause you're seeing
'cause you're seeing

and all the pressure points for these apps
and all the pressure points for these apps

that are taking advantage of the AI,
that are taking advantage of the AI,

they're putting more pressure on the hardware, right?
they're putting more pressure on the hardware, right?

You know, you got GPUs you mentioned,
You know, you got GPUs you mentioned,

yeah, and other silicon.
yeah, and other silicon.

What do you guys see as the barriers at this point
What do you guys see as the barriers at this point

to harnessing an HPC cloud for researchers
to harnessing an HPC cloud for researchers

and then the enterprise?
and then the enterprise?

>> So the HPC stack is very interesting.
>> So the HPC stack is very interesting.

You have tons of different types of software and ecosystems.
You have tons of different types of software and ecosystems.

So, for example, on our platform today
So, for example, on our platform today

we have over a thousand ISVs.
we have over a thousand ISVs.

You know, you can open source,
You know, you can open source,

like OpenFOAM, GROMACS, PyTorch, right?
like OpenFOAM, GROMACS, PyTorch, right?

You also have commercial workloads
You also have commercial workloads

like Ansys and Siemens.
like Ansys and Siemens.

And then custom codes, right,
And then custom codes, right,

for various use cases.
for various use cases.

Combine that with different types of,
Combine that with different types of,

you know, schedulers, compilers, libraries.
you know, schedulers, compilers, libraries.

And then on top of that, different architectures from,
And then on top of that, different architectures from,

you know, AMD to NVIDIA
you know, AMD to NVIDIA

and all of the different type of architectures
and all of the different type of architectures

that they provide, Arm.
that they provide, Arm.

All of those combinations,
All of those combinations,

we basically estimate that that could be,
we basically estimate that that could be,

you know, 50,000 plus combinations
you know, 50,000 plus combinations

that you can use to optimize your stack.
that you can use to optimize your stack.

So what Rescale does is
So what Rescale does is

that we actually make it all very simple,
that we actually make it all very simple,

in partnership with Dell,
in partnership with Dell,

to have all of that preconfigured and pretuned.
to have all of that preconfigured and pretuned.

And that way we actually have
And that way we actually have

an AI-powered recommendation engine,
an AI-powered recommendation engine,

so that way we can recommend
so that way we can recommend

the best, optimal stack for the users.
the best, optimal stack for the users.

>> Shervin, weigh in here on the Dell side.
>> Shervin, weigh in here on the Dell side.

What are you enabling?
What are you enabling?

What's the key to the partnership here?
What's the key to the partnership here?

>> So, for us, is we already have,
>> So, for us, is we already have,

so Dell is an infrastructure company.
so Dell is an infrastructure company.

We sell HPC server for people that have data center.
We sell HPC server for people that have data center.

But the most important thing here is
But the most important thing here is

how to make it seamless for our customers
how to make it seamless for our customers

to shift to the cloud,
to shift to the cloud,

if they wanted to take advantage
if they wanted to take advantage

of the flexibility of cloud.
of the flexibility of cloud.

So they already have some on-prem system
So they already have some on-prem system

and how we can make it easy in partnership with Rescale
and how we can make it easy in partnership with Rescale

so they don't even see it,
so they don't even see it,

it's a very seamless process to the cloud
it's a very seamless process to the cloud

and that's what our customer are coming to
and that's what our customer are coming to

and asking for us.
and asking for us.

>> Talk about the portfolio you guys are making even better,
>> Talk about the portfolio you guys are making even better,

this adds to the portfolio.
this adds to the portfolio.

What's the impact?
What's the impact?

>> I think the impact to the portfolio
>> I think the impact to the portfolio

is significant.
is significant.

So we have talked about the infrastructure side of it.
So we have talked about the infrastructure side of it.

I think our servers and storage portfolio
I think our servers and storage portfolio

can address all the needs of the customer.
can address all the needs of the customer.

But I think it just,
But I think it just,

the impact for this software is mostly on the OpEx model,
the impact for this software is mostly on the OpEx model,

for the customer that wanted to take advantage of it.
for the customer that wanted to take advantage of it.

We make sure that everything underneath
We make sure that everything underneath

is tuned and optimized for HPC.
is tuned and optimized for HPC.

But just giving that flexibility,
But just giving that flexibility,

if you don't want to invest the first,
if you don't want to invest the first,

if you don't want to just buy infrastructure
if you don't want to just buy infrastructure

and put it on your prem,
and put it on your prem,

so you can take advantage of this.
so you can take advantage of this.

>> So metering has been important in the cloud.
>> So metering has been important in the cloud.

This brings up the issue of the tools on HPC.
This brings up the issue of the tools on HPC.

What kind of tools does HPC on demand offer
What kind of tools does HPC on demand offer

to help customers keep track
to help customers keep track

of all metering issues, and expenses and usage?
of all metering issues, and expenses and usage?

Cost is huge.
Cost is huge.

If you get out of control,
If you get out of control,

it's more than leaving the lights on, as I say.
it's more than leaving the lights on, as I say.

It's a lot of, (laughs) I mean,
It's a lot of, (laughs) I mean,

you don't watch what you're doing here
you don't watch what you're doing here

the cost could be pretty crazy.
the cost could be pretty crazy.

>> So we have a lot of different types of policy settings,
>> So we have a lot of different types of policy settings,

administratorship settings, basically,
administratorship settings, basically,

that users can actually utilize and deploy.
that users can actually utilize and deploy.

So, for example,
So, for example,

we have different types of workspaces we can enable.
we have different types of workspaces we can enable.

Within those workspaces,
Within those workspaces,

we can add different users.
we can add different users.

Each of those users can be allocated a specific budget.
Each of those users can be allocated a specific budget.

Now, they can be hard limits.
Now, they can be hard limits.

So, for example, like a thousand dollars and then that's it.
So, for example, like a thousand dollars and then that's it.

Or it can actually be a little bit more open-ended.
Or it can actually be a little bit more open-ended.

So depending on your project, your group,
So depending on your project, your group,

as well as the user, you can allocate that.
as well as the user, you can allocate that.

And this is actually done globally.
And this is actually done globally.

So you can actually have different environments
So you can actually have different environments

where you would invite users from,
where you would invite users from,

say, US and Canada, you know, APJ or EMEA.
say, US and Canada, you know, APJ or EMEA.

And that way they can actually all draw down
And that way they can actually all draw down

from the same budget pool
from the same budget pool

or not, right?
or not, right?

And all of that is actually at the control
And all of that is actually at the control

of the administrators that we actually enable.
of the administrators that we actually enable.

>> Maybe it makes sense to explain
>> Maybe it makes sense to explain

what does HPC on demand mean?
what does HPC on demand mean?

>> HPC on demand for us basically means
>> HPC on demand for us basically means

for scientific and engineering users
for scientific and engineering users

to be able to access virtually unlimited compute.
to be able to access virtually unlimited compute.

What we've seen
What we've seen

is that R and D investment's really important.
is that R and D investment's really important.

For every dollar we spend, basically,
For every dollar we spend, basically,

a enterprise company can actually reap the reward
a enterprise company can actually reap the reward

of over, you know, 40 or $50 of revenue
of over, you know, 40 or $50 of revenue

in terms of the investment.
in terms of the investment.

So being able to unblock that,
So being able to unblock that,

for scientific and engineering users,
for scientific and engineering users,

for the research and development purposes
for the research and development purposes

certainly accelerates us.
certainly accelerates us.

And that's how we get our,
And that's how we get our,

you know, the future of flying cars and automated,
you know, the future of flying cars and automated,

you know, driving vehicles and whatnot, right?
you know, driving vehicles and whatnot, right?

There's a lot of research out there
There's a lot of research out there

that's very important
that's very important

and this will certainly unblock all of that.
and this will certainly unblock all of that.

>> I think that brings up the segue to the hyperscalers.
>> I think that brings up the segue to the hyperscalers.

I've heard people say it's difficult, complex,
I've heard people say it's difficult, complex,

takes a long time to get it going, can be expensive.
takes a long time to get it going, can be expensive.

This is where HPC on demand differs from that.
This is where HPC on demand differs from that.

How do you guys compare
How do you guys compare

when you look at the offerings on the hyperscalers
when you look at the offerings on the hyperscalers

versus your unlimited compute, HPC on demand?
versus your unlimited compute, HPC on demand?

How do your performance compare?
How do your performance compare?

>> So, yeah, it's a good point.
>> So, yeah, it's a good point.

I think the value proposition of our offer
I think the value proposition of our offer

compared to the hyperscalers is that vendor lock-in.
compared to the hyperscalers is that vendor lock-in.

I think it's very important for the customers.
I think it's very important for the customers.

You wanted to take advantage of on CSB one someday,
You wanted to take advantage of on CSB one someday,

in some of the instances there.
in some of the instances there.

And the other,
And the other,

maybe the pricing is better on another instance
maybe the pricing is better on another instance

and you wanted to kind of use that.
and you wanted to kind of use that.

So kind of replicating all of these processes and workload
So kind of replicating all of these processes and workload

from one hyperscaler to another
from one hyperscaler to another

is going to be a very challenge for our customers.
is going to be a very challenge for our customers.

But with this control plane
But with this control plane

that we have for HPC on demand,
that we have for HPC on demand,

all of those are kind of masked from the customer.
all of those are kind of masked from the customer.

You are just interacting
You are just interacting

with one single unified control plane.
with one single unified control plane.

That's value one.
That's value one.

The other value is we try to make it easy for our customer.
The other value is we try to make it easy for our customer.

HPC is complex.
HPC is complex.

If you are going to hyperscalers,
If you are going to hyperscalers,

you basically need to tune and optimize different instances.
you basically need to tune and optimize different instances.

You need to configure the network, firewall, all of that.
You need to configure the network, firewall, all of that.

And when we are comparing it
And when we are comparing it

what we can providing with HPC on demand,
what we can providing with HPC on demand,

we brought about 25 different number of steps
we brought about 25 different number of steps

to about less than seven or eight.
to about less than seven or eight.

It's very easy for our customers
It's very easy for our customers

to just bring their input,
to just bring their input,

click on whatever the software is,
click on whatever the software is,

make sure the instances is optimized
make sure the instances is optimized

and then run their simulation.
and then run their simulation.

So that's the second point.
So that's the second point.

>> Yeah, and got the flexibility there.
>> Yeah, and got the flexibility there.

So you think you guys are competitive
So you think you guys are competitive

with the established cloud service providers?
with the established cloud service providers?

>> Yeah, absolutely.
>> Yeah, absolutely.

On top of being multi-cloud,
On top of being multi-cloud,

so that way we can actually optimize the infrastructure,
so that way we can actually optimize the infrastructure,

we can also deploy hybrid environments.
we can also deploy hybrid environments.

And what that allows is having the best of both worlds
And what that allows is having the best of both worlds

of what the on-prem, you know, cost can offer
of what the on-prem, you know, cost can offer

as well as, you know, cloud bursting use cases.
as well as, you know, cloud bursting use cases.

So, essentially, being able to kind of mix and match
So, essentially, being able to kind of mix and match

between on-prem and various multi-cloud infrastructure.
between on-prem and various multi-cloud infrastructure.

We can be, you know, extremely competitive
We can be, you know, extremely competitive

in terms of both performance
in terms of both performance

as well as cost optimized,
as well as cost optimized,

depending on what your use cases are.
depending on what your use cases are.

>> I think the on-prem dot cloud, that's a great position.
>> I think the on-prem dot cloud, that's a great position.

That's where the demand is, pun intended.
That's where the demand is, pun intended.

HPC on demand seems to fit that well.
HPC on demand seems to fit that well.

The question that comes up,
The question that comes up,

I'd love to get you guys' thoughts on this and weigh in,
I'd love to get you guys' thoughts on this and weigh in,

is making it easy,
is making it easy,

more seamless and even more intelligent,
more seamless and even more intelligent,

'cause it has to come in and deliver the AI,
'cause it has to come in and deliver the AI,

has to deliver the goods
has to deliver the goods

and then connect in a cloud manner.
and then connect in a cloud manner.

How do you guys make that easier and seamless?
How do you guys make that easier and seamless?

>> So we start, basically, from the end users in mind.
>> So we start, basically, from the end users in mind.

So, as I mentioned, the scientific engineering user base,
So, as I mentioned, the scientific engineering user base,

right?
right?

They have different types of codes and softwares,
They have different types of codes and softwares,

open source, commercial.
open source, commercial.

So we have over a thousand software partners on our platform
So we have over a thousand software partners on our platform

and over 5,000 plus versions.
and over 5,000 plus versions.

So a lot of times,
So a lot of times,

it's very difficult for all these enterprises
it's very difficult for all these enterprises

to manage all their versions, and all their softwares,
to manage all their versions, and all their softwares,

and their entire stack
and their entire stack

and optimize it for the appropriate infrastructure.
and optimize it for the appropriate infrastructure.

We, basically, do that right out of the gate
We, basically, do that right out of the gate

and, basically, it's a very simple user interface
and, basically, it's a very simple user interface

where you can actually just select your software
where you can actually just select your software

and where you want to deploy.
and where you want to deploy.

And, essentially, just submit run, right?
And, essentially, just submit run, right?

And all that information
And all that information

in terms of the performance intelligence
in terms of the performance intelligence

will be captured to help recommend better ways to run.
will be captured to help recommend better ways to run.

>> Cloud and HPC goes well together.
>> Cloud and HPC goes well together.

The cloud operation means on-prem,
The cloud operation means on-prem,

you brought up the edges coming around too.
you brought up the edges coming around too.

Andrew, what are you seeing in terms of the AI piece?
Andrew, what are you seeing in terms of the AI piece?

'Cause now the data becomes super valuable.
'Cause now the data becomes super valuable.

You've got the compute, the HPC on demand,
You've got the compute, the HPC on demand,

you got the data, you got the cloud,
you got the data, you got the cloud,

you got on-prem,
you got on-prem,

you got all the other clouds,
you got all the other clouds,

you got edges around the corner,
you got edges around the corner,

you know, intelligent edge.
you know, intelligent edge.

What's your,
What's your,

what do you see happening with the data
what do you see happening with the data

and where HPC goes
and where HPC goes

when you start bringing all this new AI to the table?
when you start bringing all this new AI to the table?

>> Yeah, so what we're seeing in the field is
>> Yeah, so what we're seeing in the field is

that all customers want us to complete the digital thread.
that all customers want us to complete the digital thread.

So what we mean by that is,
So what we mean by that is,

basically, all the data acquisition,
basically, all the data acquisition,

modeling, simulation data,
modeling, simulation data,

be able to model and simulate your products,
be able to model and simulate your products,

and all the way to manufacturing data
and all the way to manufacturing data

and then you have edge data,
and then you have edge data,

all of that to be able to have
all of that to be able to have

sort of a closed-loop ecosystem
sort of a closed-loop ecosystem

where you can actually utilize the data in the field
where you can actually utilize the data in the field

to kind of bring it back to improve your products.
to kind of bring it back to improve your products.

So we're definitely working towards that.
So we're definitely working towards that.

I don't want to say that we have all the answers to be honest.
I don't want to say that we have all the answers to be honest.

>> (laughs) No one does yet.
>> (laughs) No one does yet.

>> Yeah, nobody does yet.
>> Yeah, nobody does yet.

But that's what we're driving towards
But that's what we're driving towards

in terms of this partnership with Dell as well.
in terms of this partnership with Dell as well.

>> Yeah, I think a lot of people
>> Yeah, I think a lot of people

are really seeing value in the data.
are really seeing value in the data.

We'll see how it all pans out as architectures come in.
We'll see how it all pans out as architectures come in.

You know, it's an architectural place.
You know, it's an architectural place.

Shervin, talk about the Dell,
Shervin, talk about the Dell,

you've got a partner here,
you've got a partner here,

for the folks watching,
for the folks watching,

what should they know about Dell's role
what should they know about Dell's role

in HPC and the cloud?
in HPC and the cloud?

What's the big story?
What's the big story?

>> Sure.
>> Sure.

So, as you know, like Dell is a very collaborative company.
So, as you know, like Dell is a very collaborative company.

If we don't have any offering internally,
If we don't have any offering internally,

we try to partner with other people.
we try to partner with other people.

For this case, with Rescale,
For this case, with Rescale,

to kind of provide a collaborative solution
to kind of provide a collaborative solution

for our customer.
for our customer.

So we have that customer first in our mindset,
So we have that customer first in our mindset,

that's important.
that's important.

And what we see here for HPC on demand
And what we see here for HPC on demand

is the value that the Rescale
is the value that the Rescale

is providing for our customers,
is providing for our customers,

all those software requirements that customer are asking.
all those software requirements that customer are asking.

We wanted to have the administration,
We wanted to have the administration,

we wanted to make sure our budget is in good control.
we wanted to make sure our budget is in good control.

We wanted to see all these different software are installed.
We wanted to see all these different software are installed.

So that's what,
So that's what,

why we think this partnership can bring to the table.
why we think this partnership can bring to the table.

So, and we are very excited about it.
So, and we are very excited about it.

>> It brings up a really good example
>> It brings up a really good example

we've been saying on theCUBE for many years.
we've been saying on theCUBE for many years.

Hardware is really software too.
Hardware is really software too.

It's a software business running on hardware.
It's a software business running on hardware.

And now hardware's back,
And now hardware's back,

because hardware people see the processors,
because hardware people see the processors,

they see the the GPUs, they see the value
they see the the GPUs, they see the value

but it's the software game.
but it's the software game.

This has always been the play.
This has always been the play.

Shervin, how many times have we,
Shervin, how many times have we,

you've seen, (laughs) hey, we're a software company?
you've seen, (laughs) hey, we're a software company?

It's hardware and software working together.
It's hardware and software working together.

This is the magic of this market right now.
This is the magic of this market right now.

I think this is a great example.
I think this is a great example.

Just your thoughts on when people say, is it just hardware?
Just your thoughts on when people say, is it just hardware?

Talk about the software involvement,
Talk about the software involvement,

how much software's involved.
how much software's involved.

>> Absolutely.
>> Absolutely.

So you are right on point.
So you are right on point.

So we provide the hardware and software, actually.
So we provide the hardware and software, actually.

So behind the scene
So behind the scene

in this collaborative partnership with Rescale,
in this collaborative partnership with Rescale,

we have done more than 50,000 number of simulation hours
we have done more than 50,000 number of simulation hours

to just make sure that all of the software
to just make sure that all of the software

that are putting on the system is completely optimized
that are putting on the system is completely optimized

and tuned for that specific hardware.
and tuned for that specific hardware.

So a lot of engineering work has been done from our side
So a lot of engineering work has been done from our side

as well as the Rescale side
as well as the Rescale side

to ensure we have the best software for the best hardware.
to ensure we have the best software for the best hardware.

And this cycle goes on and on, so...
And this cycle goes on and on, so...

>> This is a great conversation.
>> This is a great conversation.

We have to end it there.
We have to end it there.

Andrew, I'll give you the last word.
Andrew, I'll give you the last word.

At Rescale,
At Rescale,

what do you see taking advantage of this innovation?
what do you see taking advantage of this innovation?

What's next for Rescale?
What's next for Rescale?

What are some of the things on your mind right now?
What are some of the things on your mind right now?

>> So for us, we are seeing explosion, right,
>> So for us, we are seeing explosion, right,

in terms of AI, ML, research computing.
in terms of AI, ML, research computing.

So for us, we merely want to ride the wave, right,
So for us, we merely want to ride the wave, right,

to be able to kind of be a piece of this action
to be able to kind of be a piece of this action

as well as just help enable a better future for everything,
as well as just help enable a better future for everything,

including all the research that's done in life science,
including all the research that's done in life science,

and manufacturing and technology.
and manufacturing and technology.

It's just exciting place to be.
It's just exciting place to be.

>> Awesome.
>> Awesome.

>> And we want to do it with Dell, obviously.
>> And we want to do it with Dell, obviously.

>> Yeah, great relationship.
>> Yeah, great relationship.

Congratulations, both of you.
Congratulations, both of you.

Thanks for coming on theCUBE's coverage
Thanks for coming on theCUBE's coverage

of High Performance in 2023,
of High Performance in 2023,

part of ISC 2023.
part of ISC 2023.

Thanks for watching.
Thanks for watching.

I'm your host, John Furrier.
I'm your host, John Furrier.

>> Thank you for having me.
>> Thank you for having me.

>> Thank you.
>> Thank you.

>> Thank you, Shervin. Thank you, Andrew.
>> Thank you, Shervin. Thank you, Andrew.

(instrumental outro music)
(instrumental outro music)