Video summary
The CoreWeave Fully Connected conference marks a pivotal moment as the company transitions from pilot phases to full-scale production in the enterprise AI landscape. Hosted by John Furry and featuring Chief Marketing Officer Gene English, the event aims to bring together builders, operators, investors, and large enterprises like JP Morgan Chase, Ford, IBM, and Caterpillar to discuss the realities of moving AI agents from prototypes to reliable market solutions. The core theme revolves around the "AI loop," a framework that integrates training, inference, observability, and evaluation into a continuous cycle of improvement. This approach addresses the critical need for real-time feedback loops where applications can learn from user interactions, fix issues instantly, and drive actual revenue rather than just demonstrating technical capability.
A significant shift in industry conversation is highlighted by the concept of "asset light," which allows companies to access high-performance AI infrastructure without the prohibitive capital expenditure of building their own data centers. CoreWeave positions itself as the essential cloud for AI, offering a purpose-built environment that feels like a single-tenant experience while remaining multi-tenant and secure. The company's strategy relies heavily on deep partnerships and an "engineer-to-engineer" model, ensuring that clients receive expert support that solves complex problems in hours rather than weeks. This reliability and speed are key differentiators, with nine out of ten leading foundation model providers already relying on CoreWeave to power their workloads, validating the platform's status as the top choice for both AI labs and established enterprises.
The conference content is designed to showcase the full spectrum of AI innovation, featuring over 40 customer speakers who will share real-world stories of success across various sectors. Beyond traditional keynotes, the event will include interactive breakouts, hands-on lab sessions with partners like Aston Martin, and even a battlebot demonstration to illustrate physical AI capabilities. The agenda covers critical topics such as topology-aware scheduling for GPU efficiency, secure research workloads, and the integration of autonomous systems at the edge. By focusing on these practical applications, CoreWeave demonstrates how its infrastructure supports the entire lifecycle of AI development, ensuring that high-velocity coding and app launches are matched by equally high standards of data quality and system reliability.
Ultimately, the vision for CoreWeave is to act as a force multiplier that empowers every individual and organization using AI, regardless of their size or stage in the technology curve. The brand promise centers on trust, credibility, and the ability to deliver information at the exact speed required by modern business needs. As demand for intelligence becomes insatiable across every vertical and department, CoreWeave stands ready to support this growth with a fully connected stack that eliminates bottlenecks and holds nothing back. The Fully Connected event serves as a gathering point for this community, fostering connections between pioneers in AI invention and those driving adoption in enterprise settings, ensuring that the future of the AI-native world is built on a foundation of shared innovation and mutual success.
Read the full video transcript
Hello, I'm John Furry, your host of the
Cube here at the Cubes studios in
PaloAlto, California. Of course, we have
our Cube studios at the NYC as part of
our NYC wired program. We're here to
preview the Core Fully Connected
Conference happening September 29th
through October 1st. Gan English, the
chief marketing officer, is here from
Coree. Gan, welcome back to the cube.
Congratulations on the Vera Rubin first
workload verified you know operating
then the success on earnings continued
momentum in the AI infrastructure space
the demand is thundering away there's
huge demand for intelligence we're
seeing that in the infrastructure but
now the enterprise are leaning in
welcome to the cube
>> thank you John glad to be here
>> it's an exciting time I mean all the
people waiting for more infrastructure
all the AI native developers it's
booming as I mentioned And you guys are
holding your first ever user conference
fully connected. Tell us what does this
mean to bring everyone together at this
time. We see the momentum. We see the
demand. We see the technologist leaning
in. System architecture game is on. The
results are driving revenue not just
efficiency. What does it all mean? Take
us through what's the plans. Yeah, this
is our first ever full stack corewave
cloud conference and you know we have we
are so delighted to be able to host so
many people with us. you know enterprise
AI has moved past the pilot phase and
you know when we think about what the
teams are doing when they've been
demoing they've been doing agents you
know stakeholders are asking for more
you know but really when you think about
like it's going from prototypes to
production and production is like the
real test but it's not where things get
solved alone and so you know the launch
of an agent or application is really
just the beginning and so once a model
has been developed or an agent meets
real users um that's where the real
value comes in so the conference is all
about how do you understand the real
feedback loop on what's happening,
what's breaking, what's working, what
needs to improve. And we want to bring
the teams together that are actually
working on it today. So we we call it
the AI loop. So we'll be doing a lot of
conversations around this loop. The
framework as we think about it is what
we've been building around training and
inference. You know, how people look at
observability evaluations, but all those
things are happening inside of the loop.
And so that's what that's what fluid
connected will do. It will bring
together in a physical way how people
are going to talk about building and
realizing real value of AI.
>> You know, we've been covering a lot of
the conversations with core. Before
we've ended the industry, the number one
thing that people have talked about is
that I want to get my AI infrastructure
up and running tied to the application.
You're seeing the deterministic
workloads and agents which you
mentioned, but they need support and and
connectivity. They need to have the low
latency. You guys have built the system
and a lot of people were like, wait a
minute, will there be demand? There is a
significant amount of traction in the
enterprise, you know, post the coding
wave and we're still needing to see
coding dominate as the use case, but
that's unlocked the value of revenue
generation and we're hearing first token
out drives revenue. Get that done super
fast. How has your success changed the
conversation?
>> Yeah. Well, I think one it's like, you
know, you got to hear from a lot of
different people as to what success
means for them. Um you know when we
think about you know the different
voices right now in AI you know it's a
signal and so many of the builders today
if you think about cognition or
reflection AI parallel web systems
liquid AI client they're all at
different stages of how they've been
building out especially when you look at
enterprises JP Morgan Chase Ford
Caterpillar even IBM they're all coming
from different places and spaces and you
know what they're looking for in this is
really the same thing they're looking
for the pace to develop agents and apps
and to do the training or inference at
the at the space and the rate that they
need to get out into market fast. Um,
it's the performance. They cannot be
slowed down. Um, they cannot have
latency. Um, they cannot have any gaps
in terms of how they think about
observability and what they need to do
to fix what may be broken or had to get
things back on track and they need a
true partnership in order to make that
happen and someone that's going to work
side by side with them. And that's what
we believe in core. Um, you know,
improving a model or agent or
application that works is one thing um,
but running it with reliability and
production is what really matters. And
so that's what we see this conference
doing is being able to bring people
together to think through what are
people actually doing? What are they in
production? How are they realizing real
value from AI? What are they doing to
like to drive in line revenue? How are
they doing to get things to a point
where they're seeing real productivity?
Um, and we see this with clients whether
it's Grammarly talking about you real
time inference of what they're doing.
you know, cohhere is a big client of
ours talking about, you know, topology
aware scheduling so teams can turn, you
know, real GPU capacity into actual
training progress. Um, IBM is doing very
sensitive, you know, research workloads
and they're doing it very securely. Um,
but these are all topics and it's what
labs and AI native companies and
enterprises are all talking about.
>> You know, this this conference will
probably have a lot of those
conversations. I'm sure there'll be a
lot of customers speaking from the AI
native companies to the large
enterprises. But some interesting trends
have developed that I think is going to
make it very interesting at this event.
I want to get your thoughts on this. One
is a new term's been kicked around in in
the industry circles called asset light,
which means that you don't have to spend
billions and billions of dollars to get
AI intelligence. That's driving a lot of
people to say, "Hey, I'll just go to
coreweave. They have the the
infrastructure. I can get that
multi-tenant environment to feel like a
single tenant that's very cloudnative
end-to-end workloads. the agents are
looking to be more reliable with
security and governance. So you're
starting to see people saying I don't
have to spend all that capex. I just
want to get the service turned on fast
securely. This is becoming called asset
light. It means different things but
that's generally people like I can get
into the game. How is that going to
change this the content at the
conference? Again it's the first one for
you guys. You'll have builders. You'll
have operators and investors there. How
does that change the demand and the
speed to get value or or are you hearing
that same word? It's kind of a different
word. Some people use it differently but
asset light means hey I can just go to
coreweave and get some intelligence.
>> Well the cloud has been popular and have
been around for many many years. Um I
think the key with core is that it was
purpose-built just for AI. Um you know
when we look at what the full
integration is of a full AI loop
continuously learning and improving. Um
that's what we see happening with
clients who were in AI today. How
they're using AI to you know again build
agents applications being able to get
you know more productivity from their
teams. The ability to drive inline
revenue um you know is all the things
that companies are talking about right
now. Um I think before it was like a
question of you know can it work? I
think most people believe it can work.
Now they're thinking about can it run
reliably? Can it be can we secure it?
Can we control the cost? whether it's
asset light or you know the need to be
in a in a true AI cloud I think that's
why many customers come to us um so much
of it is about the fact that we see nine
out of the 10 leading foundation model
providers rely on core weave today um
we're known for speed and reliability
especially with AI labs and now even in
the enterprise and as you think about
what that means to scale across not just
training but inference um that's why
people rely on cororeweave that's why
they come to us and the diversification
of clients that we work with today is
you know, absolutely incredible. Um, the
way the way that we look at benchmarking
and how we are seen as the number one AI
cloud is also, you know, something we've
been standing behind now for the last
year and a half. Um, and as we think
about what other customers have tried,
they come back to us and say, we think
that, you know, when we work with Coree,
we know it's going to be reliable. They
often talk about us as being the very
best AI infrastructure on the planet.
Um, and that's not just us saying it,
that's other customers saying it. And
they know that they can run faster with
us. Um, and they know that it's not just
a sales pitch, you know, it's true
engineers working with engineers every
day and they're solving those problems
not in weeks but in in days and in
hours.
>> Yeah, it's awesome. I was talking to
Nvidia too there in was recently at
Stanford for the hot chips event getting
into the innovation. The software can
evolve with the infrastructure and
that's been a great innovation that that
has given a lot of customers the
confidence that they could use these
services to get going and get into
production and move out of the pilot as
you mentioned. So, I have to ask you,
who's going to be speaking? Uh, that's
that kind of highlights the event so
people could know if they go what what's
going to look, what's going to be,
what's the vibe going to be like, and
how does this new this mix of voices
actually talk about the value? Can you
share how you guys are thinking about
the content, who's speaking, what are
they going to be talking about, and what
might surprise people? Yeah. So, we're
going to have we have over 40 customer
speakers um with us for the event. So,
we're excited to bring on such strong
talent and recognized voices in the
market. Um if you think about the labs
um or the platforms that are creating AI
and training AI and and getting, you
know, applications out, it's either
going to be Cognition, Reflection AI, um
Parallel Web Systems, Coher's going to
be speaking, Liquid AI, Klein. Um then
you've got the big enterprise hitters.
you know, Caterpillar has got an amazing
story and what they're doing with us and
physical AI and the ability for them to
do better inference with us. Um, you
know, Ford, JP Morgan, Chase, IBM, these
are all speakers that'll be there at the
conference and whether they're on a main
stage as a keynote. Um, as I said, we
have over 40 breakouts that we're doing
as well. And so, you'll get to hear from
clients. It's not just us talking, you
know, with people. It's actually like
clients giving their own stories. And
so, this is a conference that's built
for the user by users. And so like our
goal is to connect people in better and
richer ways um and to give them great
experiences to connect and to learn from
each other. And then of course we'll
have some fun as well. We actually have
um Sean Evans from Hot Ones who'll be
speaking with our CEO. So if you if you
want to know the most pressing questions
under the gun uh of you know of a
Hotwing Challenge uh you know Mike will
be speaking with him. Um we'll also have
some demonstration of some real physical
AI um excellence with a battlebot
showing up as well. And so just more and
more opportunities to get hands-on with
labs, hands-on with technology. We
actually have Aston Martin who will be
there. We're going to do a full garage
with them and they're actually going to
bring a data set so that you know we can
go into a lab and people can see like
what they can build um to look at the
face the pace and the race of how the
performance will be with the car as
well.
>> Yeah. I mean that hits all the boxes. I
mean you got the autonomous, you got the
edge, you got low latency. This speaks
to the opportunity and I want to get
your thoughts because your mix of
business is interesting. You have nine
of the 10 labs. You have emerging
enterprises. You mentioned the building
out. You got the edge coming on quickly.
What are you guys hearing from customers
and why they choose coreweave and why
they stay with you?
>> Yeah, I mean we hear time and time again
three things. I think the pace of which
how we work is really a leading in the
industry. Um the pace in which clients
can get faster to market um with what
they're building is always a priority
for us. um the performance of you know
what we build in terms of a full stack
AI cloud um is number one in the market
and we see that time and time and again
and the ability to not just have it in a
benchmark where clients are seeing it
you know in real time in action. Um the
ability to have full observability
across the stack so nothing ever holds
people back um has been key and then the
partnership and that partnership is
everything. The partnership to have
direct expert you know connections the
partnership to understand what people
are building and how we help them to get
there again faster and with better
performance. Um the ability for a
partnership you know where they can talk
to someone engineers working with
engineers um that is key. Um so we call
it the three Ps performance and
partnership. Um but that is all the
reason why companies come to us and I
think that the reliability of of what
Coree delivers um time and time and
again has been seen as just the absolute
you know best of breed in this industry
and it's what we're excited to bring
forward um when we come together um at
fully connected.
>> You know it's interesting you made me
think about this and I want to expand on
if you don't mind. If you look at the
extreme code design vision from Nvidia
for instance which I love by the way for
everyone this is the new relationship
uh motion the code design you mentioned
engineer to engineer people are making a
generational decision u about their
business I mean this isn't just like buy
some servers and rack and stack this is
about building the next generation
system architecture so talk about that
co-design that relationship why that's
so important and why the customers are
are aligning with that.
I think there's a few things I mean as
you look at like the difference of being
in a true you know AI cloud um you know
these are systems that are not built for
old web architectures you know they are
built for AI workloads and the ability
to understand exactly like what's needed
in every company today that's using AI
either building AI they're inventing AI
itself they're using AI to get a
competitive advantage um they need to
have a system and an architecture that's
built for that type of workload load.
Um, and if you think about the need to
like have development tools, agent
tools, ability to have evaluations, full
feedback, um, it's no longer just about
creating something in in one design and
being able to push it into market.
Usually, it's the agent, the application
that's been built and the ready to ship
is just day one. And that day one turns
into how do you have users using these
agents and applications? How do you get
more learning from it? How do you
actually improve? How do you run it? How
do you observe it? Um, how do you
evaluate it? Um this is all the stages
that we think customers are going
through today and they have to be able
to do it to where it's not in separate
systems and that's where some of the
architecture is really critical. It has
to be fully connected. Um and the
ability to do that in a full loop is
what's going to be the difference of
companies that are just shipping AI
today and the ones that are truly being
able to drive competitive advantage. I'm
sure that's going to be a great
conversation because the velocity of the
buildouts on the app side and the
intelligence is massive but the quality
has to be there because you you don't
want to you want to get the all that
data feeding into the system huge con
huge constraint to deal with but you can
engineer that in you guys have done that
I think that's the new architecture you
can get high velocity coding agents will
be coding the apps are launching faster
but they got to be high quality and
that's where the data comes
The data is always everything, isn't it?
I feel like we've been talking about
data for decades, but the data is, you
know, job one, when it comes to AI and
the quality of the data. I think part of
it is the quality of the feedback, the
quality of the accuracy, um, and being
able to continuously learn and improve.
>> You know, the core brand is emerging.
You guys have success. Congratulations,
Gene. You had a great tailwind, but you
guys have been doing a lot of work
around this. Obviously the relationship
with Nvidia uh and the um the providers
on on the hardware side and software
side have been key. Take us through your
vision on the brand for coreweed because
you know you you're generating success.
People are super happy to get the
capabilities. We're seeing it move the
needle again. You can mix the business
from the big labs to now the enterprise
which we think is going to be massive
because as agents scale and be reliable.
Talk about your vision for the brand of
coreweave. What's the promise? Where do
you take it? Yeah, I mean core weave is
the essential cloud for AI. Um, and when
we think of the word essential, it's
about the tools, the technology, the
teams that actually like create the
ability um for companies to get full
advantage of what they're doing with AI
innovation. Um, we do see ourselves as a
force multiplier in this. You know, the
companies that we work with every day
are the ones who are really creating and
driving AI and the intelligence that
goes out into the world and we are the
ones empowering them in order to do
that. Um so our for and the way we look
at ourselves as being yes again that
force multiplier. Um but you know we
really see that companies who are
leaning in from the ones who are
inventing AI um those are pioneers and
mainly in labs. Um if we think about the
companies that are advancing with AI
those are the ones in enterprises and
then we also see the the in the
companies that are you know building and
leveraging in platforms with AI and AI
native companies as being critical to
this you know ecosystem as well. But in
the end, everyone's using AI, you know,
in some way, shape, or form. And so, you
know, if they're using AI, most likely
it's running on Core Wave and and the
ability for us to be a big part of this
ecosystem is a big part of who we are as
a brand. So, we care about every
individual that's using AI today. And
that we want every single thing that
they touch um to be reliable and to be
fast and people to get the information
that they need at the speed that they
need it. Um, and our brand is all about
the trust and credibility and
reliability behind that. you know, the
hardware, the software, the supply
chain. This is what a lot of people talk
about in the industry, but you hit it, I
think, is really key. The demand for
intelligence and AI is so high because
you people want it once they use it.
They see the value and when it's not
there, they they want more. They
complain. It's like where's my AI?
Because you it actually helps people.
This has been a big phenomenon and
people don't understand that demand for
intelligence because it's in every
vertical. It's in every department.
Every business is experiencing it. this
is driving the demand curve. What's your
reaction to that and how would you
comment to people who say well you know
demand is where's the demand? We see it
everywhere. What's your take?
>> The demand is insatiable.
Um there is so much demand in the market
right now for the AI infrastructure that
we provide. Um we are a full stack um
cloud provider. Um our AI cloud you know
is seen as number one. Um we see this
through clients coming to us who have
either tried something else um that they
didn't get the reliability that they
needed um as they think about like what
we were able to deliver in record time
and whether that's bringing thing up you
know bringing it up and validating it
first to market as we did with Ver Rubin
um to how we think about the tools and
development tools that we provide to
clients and those are researchers and
developers that are in the market today
um you know all of that is an ecosystem
that we serve and the ability for us to
do that you know with the partnership
that's required is what we really see as
a big differentiator.
>> Gene English, the CMO of Core is here.
Final question, what can people expect
in the rooms, in the hallways? You got
some great experiences all across the
board. What's the what can they expect?
What should they know before they go and
what can what should they expect?
>> Uh so Fully Connected is the place to
be. Uh you know, we're excited to be
able to host this full, you know,
conference, you know, across the whole
stack of core together in one location.
and it's our b our first major
conference. Um we're thrilled to be able
to host so many you know clients that
are coming um prospects um researchers
developers um analysts investors um as
we think about you know what people are
doing to build and pioneer with AI um
you know it is going to be the place
where we're hosting this conversation um
you know we're staying focused on job
one which is powering those AI workloads
at the pace and the scale that people
are building the future actually need
and so you know whether it's a lab or
enterprise you know we welcome you um
you know we are an integrated you know
purpose-built cloud just for AI. Um,
we're excited to be able to host the
conversation and to show like what we're
doing with clients every day. It is a
conference you know by users for users
and you know when we think about what
people are doing to build and scale and
running AI um this is the place to be.
Um and so whether it's you know an
ambition or it's already an execution
and adoption and and running at the pace
of the business we think that this is a
conference to come and and have that
connection and conversation. So three
days breakouts, keynotes, um you know
what we're going to be doing to talk
about you know AI infrastructure to you
know agent development, application
development um all this is the
conversation that we are looking forward
to having. Gan, you know, when you get
the right people in the rooms, magic
happens. This is the time. You guys are
right in the middle of all the action,
the innovation, the experimentation, the
production, reliability, and confidence.
Congratulations on your success, and we
look forward to your event on the 49th
to the 1st of October.
>> Thank you. We look forward to seeing you
and to having everyone there. So,
thanks.
>> I'm John Furry, host of the Cube. Here
at the Cube Studios, this a preview of
Cory's fully connected conference.
Again, it's all about getting the right
people in the room. And this in this
market, the AI infrastructure are the
right people. The builders, the
application, the engineers co-designing
together. This is the future of the AI
native world. Thanks for watching.