Mistral AI and NVIDIA Introduce Mistral NeMo 12B, a Cutting-Edge Enterprise AI Model

Mistral
AI
and
NVIDIA
have
launched
a
groundbreaking
language
model,
Mistral
NeMo
12B,
designed
to
be
easily
customizable
and
deployable
for
enterprise
applications.
This
model
supports
a
variety
of
tasks,
including
chatbots,
multilingual
processing,
coding,
and
summarization,
according
to

blogs.nvidia.com.

High-Performance
Collaboration

The
Mistral
NeMo
12B
leverages
Mistral
AI’s
data
training
expertise
combined
with
NVIDIA’s
optimized
hardware
and
software
ecosystem.
Guillaume
Lample,
cofounder
and
chief
scientist
of
Mistral
AI,
emphasized
the
significance
of
this
collaboration,
noting
the
model’s
unprecedented
accuracy,
flexibility,
and
efficiency,
bolstered
by
NVIDIA
AI
Enterprise
deployment.

Trained
on
the
NVIDIA
DGX
Cloud
AI
platform,
the
Mistral
NeMo
model
benefits
from
scalable
access
to
the
latest
NVIDIA
architecture.
The
use
of
NVIDIA
TensorRT-LLM
for
accelerated
inference
performance
and
the
NVIDIA
NeMo
development
platform
for
building
custom
generative
AI
models
further
enhances
its
capabilities.

Advanced
Features
and
Capabilities

The
Mistral
NeMo
12B
excels
in
multi-turn
conversations,
math,
common
sense
reasoning,
world
knowledge,
and
coding.
With
a
128K
context
length,
it
processes
extensive
and
complex
information
coherently,
ensuring
contextually
relevant
outputs.
Released
under
the
Apache
2.0
license,
the
model
encourages
innovation
within
the
AI
community.

This
12-billion-parameter
model
uses
the
FP8
data
format
for
model
inference,
reducing
memory
size
and
speeding
deployment
without
compromising
accuracy.
Packaged
as
an
NVIDIA
NIM
inference
microservice,
it
offers
performance-optimized
inference
with
NVIDIA
TensorRT-LLM
engines,
facilitating
easy
deployment
across
various
platforms.

Enterprise-Grade
Deployment

The
Mistral
NeMo
NIM
can
be
deployed
in
minutes,
providing
enhanced
flexibility
for
diverse
applications.
It
features
enterprise-grade
software,
including
dedicated
feature
branches,
rigorous
validation
processes,
and
robust
security
and
support.
The
model
is
designed
to
fit
on
the
memory
of
a
single
NVIDIA
L40S,
NVIDIA
GeForce
RTX
4090,
or
NVIDIA
RTX
4500
GPU,
ensuring
high
efficiency,
low
compute
cost,
and
enhanced
security
and
privacy.

Optimized
Training
and
Inference

Combining
the
expertise
of
Mistral
AI
and
NVIDIA
engineers,
the
Mistral
NeMo
model
benefits
from
optimized
training
and
inference
processes.
Trained
with
Mistral
AI’s
expertise
in
multilinguality,
coding,
and
multi-turn
content,
the
model
utilizes
NVIDIA’s
full
stack
for
accelerated
training.
It
employs
efficient
model
parallelism
techniques,
scalability,
and
mixed
precision
with
Megatron-LM,
part
of
NVIDIA
NeMo.

The
training
process
involved
3,072
H100
80GB
Tensor
Core
GPUs
on
DGX
Cloud,
utilizing
NVIDIA
AI
architecture
to
enhance
training
efficiency.

Availability
and
Deployment

The
Mistral
NeMo
model
is
available
for
deployment
across
various
platforms,
including
cloud,
data
center,
or
RTX
workstations.
Enterprises
can
experience
Mistral
NeMo
as
an
NVIDIA
NIM
via

ai.nvidia.com,
with
a
downloadable
NIM
version
expected
soon.

Image
source:
Shutterstock