NVIDIA CEO Highlights Data as ‘Gold Mine’ at Databricks Data + AI Summit

In
a
compelling
keynote
at
the
Databricks
Data
+
AI
Summit
2024,
NVIDIA
founder
and
CEO
Jensen
Huang
emphasized
the
transformative
power
of
accelerated
computing
in
data
processing
and
analytics.
Speaking
alongside
Databricks
cofounder
and
CEO
Ali
Ghodsi,
Huang
described
business
data
as
a ‘gold
mine’
for
companies,
underscoring
the
challenges
and
opportunities
in
harnessing
this
valuable
resource.

Databricks
Leverages
NVIDIA’s
Full
Stack
to
Accelerate
Generative
AI
Applications

Highlighting
a
significant
development,
Huang
and
Ghodsi
announced
the
integration
of
NVIDIA’s
accelerated
computing
technology
with
Databricks
Photon,
a
high-performance
data
processing
engine.
This
collaboration
aims
to
enhance
Databricks
SQL’s
performance
and
cost
efficiency,
leveraging
NVIDIA’s
capabilities
in
accelerated
computing
and
generative
AI.

“This
is
a
big
announcement,”
Huang
remarked,
noting
the
critical
role
of
accelerated
computing
and
generative
AI
in
today’s
technological
landscape.
“NVIDIA
and
Databricks
are
combining
our
expertise
to
deliver
these
advancements
to
enterprises.”

The
integration,
which
has
been
five
years
in
the
making,
involves
a
set
of
specialized
libraries
from
NVIDIA
to
accelerate
Photon,
enabling
faster
and
more
energy-efficient
data
processing.

“We
are
excited
to
partner
with
NVIDIA
to
utilize
GPU
acceleration
on
the
Photon
engine,”
said
Ghodsi.
“This
will
enhance
core
data
processing
capabilities
and
enable
them
to
run
on
NVIDIA
GPUs.”

Creating
Generative
AI
Factories
With
NVIDIA
NIM

Additionally,
NVIDIA
and
Databricks
announced
that
Databricks’
open-source
model
DBRX
is
now
available
as
an
NVIDIA
NIM
microservice,
accessible
via
the
NVIDIA
API
catalog.
These
microservices
offer
fully
optimized,
pre-built
containers
for
deployment
in
various
environments,
simplifying
the
integration
of
generative
AI
models
into
applications.

“Creating
these
endpoints
is
complicated,”
Huang
noted.
“We
have
optimized
everything
into
a
microservice
that
runs
both
on
the
cloud
and
on-premises,
enhancing
developer
productivity
by
standardizing
the
integration
of
AI
models.”

Launched
in
March,
DBRX
leverages
Databricks’
comprehensive
tools
and
techniques
and
is
trained
using
the
NVIDIA
DGX
Cloud
platform.
Enterprises
can
customize
DBRX
with
their
data
to
create
specific
models
or
use
it
to
develop
a
mixture
of
expert
models.

Huang
emphasized
the
importance
of
accelerating
data
processing
and
adopting
generative
AI,
urging
companies
to
engage
with
these
rapidly
advancing
technologies.
“Generative
AI
is
growing
exponentially
—
you
don’t
want
to
lag
behind,”
he
advised.

Joining
the
Conversation

Summit
attendees
were
encouraged
to
participate
in
sessions
and
engage
with
NVIDIA
experts
to
explore
the
future
of
AI
and
data
intelligence.
Key
sessions
included:

• “Development
  and
  Deployment
  of
  Generative
  AI
  with
  NVIDIA”
  at
  12:30
  p.m.
  PT
• “Architecture
  Analysis
  for
  ETL
  Processing:
  CPU
  vs.
  GPU”
  at
  4:30
  p.m.
  PT
• “Spark
  RAPIDS
  ML:
  GPU
  Accelerated
  Distributed
  ML
  in
  Spark
  Clusters”
  at
  1:30
  p.m.
  PT

For
more
information,
visit
the

NVIDIA
Blog.

Image
source:
Shutterstock

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