SINGAPORE—May 30, 2018— NVIDIA today
introduced NVIDIA HGX–2™, the first unified
computing platform for both artificial intelligence and high performance
computing.

The HGX–2 cloud server platform, with
multi-precision computing capabilities, provides unique flexibility to support
the future of computing. It allows high-precision calculations using FP64 and
FP32 for scientific computing and simulations, while also enabling FP16 and
Int8 for AI training and inference. This unprecedented versatility meets the
requirements of the growing number of applications that combine HPC with
AI.

A number of
leading computer makers today shared plans to bring to market systems based on
the NVIDIA HGX-2 platform.

“The world of computing
has changed,” said Jensen Huang, founder and chief executive officer of NVIDIA,
speaking at the GPU Technology Conference Taiwan, which kicked off today. “CPU scaling has
slowed at a time when computing demand is skyrocketing. NVIDIA’s HGX-2 with
Tensor Core GPUs gives the industry a powerful, versatile computing platform
that fuses HPC and AI to solve the world’s grand challenges.”

HGX-2-serves as a
“building block” for manufacturers to create some of the most advanced systems
for HPC and AI. It has achieved record AI training speeds of 15,500 images per
second on the ResNet-50 training benchmark and can replace up to 300 CPU-only
servers.

It incorporates
such breakthrough features as NVIDIA NVSwitch™ interconnect fabric, which seamlessly
links 16 NVIDIA Tesla® V100 Tensor Core GPUs to
work as a single, giant GPU delivering two petaflops of AI performance. The
first system built using HGX-2 was the recently announced NVIDIA
DGX–2™.

HGX-2 comes a year
after the launch of the original NVIDIA
HGX–1, at Computex 2017. The HGX–1 reference architecture won
broad adoption among the world’s leading server makers and companies operating
massive data centres, including Amazon Web Services, Facebook and
Microsoft.

Four leading
server makers — Lenovo, QCT, Supermicro and Wiwynn —
announced plans to bring their own HGX-2-based systems to market later this
year.

Additionally, four
of the world’s top original design manufacturers (ODMs) — Foxconn, Inventec,
Quanta and Wistron — are designing HGX-2-based systems, also expected later
this year, for use in some of the world’s largest cloud data centres.

HGX-2 is a part of
the larger family of NVIDIA GPU–Accelerated Server Platforms, an
ecosystem of qualified server classes addressing a broad array of AI, HPC and
accelerated computing workloads with optimal performance.

Supported by major
server manufacturers, the platforms align with the data centre server ecosystem
by offering the optimal mix of GPUs, CPUs and interconnects for diverse
training (HGX-T2), inference (HGXI2) and supercomputing (SCX) applications.
Customers can choose a specific server platform to match their accelerated
computing workload mix and achieve best-in-class performance.

Top OEMs and ODMs
have voiced strong support for HGX-2:

“Foxconn has long been
dedicated to hyperscale computing solutions and successfully won customer recognition.
We’re glad to work with NVIDIA for the HGX-2 project, which is the most
promising solution to fulfill explosive demand from AI/DL.”

— Ed Wu, corporate
executive vice president at Foxconn and chairman at Ingrasys

“Inventec has a proven
history of delivering high-performing and scalable servers with robust
innovative designs for our customers who run some of the world’s largest data
centres. By rapidly incorporating HGX-2 into our future designs, we’ll infuse
our portfolio with the most powerful AI solution available to companies
worldwide.”

— Evan Chien, head
of IEC White Box Product Center, China Business Line Director, Inventec

“NVIDIA’s HGX-2
ups the ante with a design capable of delivering two petaflops of performance
for AI and HPC-intensive workloads. With the HGX-2 server building block, we’ll
be able to quickly develop new systems that can meet the growing needs of our
customers who demand the highest performance at scale.”

                —
Paul Ju, vice president and general manager of Lenovo DCG

“As a leading
cloud enabler, Quanta is committed to developing solutions for the next
generation of clouds for a variety of innovative use cases. As we have seen a
multitude of AI applications on the rise, Quanta works closely with NVIDIA to
ensure our clients benefit from the latest and greatest GPU technologies. We
are thrilled to broaden our GPU compute portfolio with this critical enabler
for AI clouds as an HGX-2 launch partner.”

— Mike Yang,
senior vice president, Quanta Computer, and president, QCT

“To help address the
rapidly expanding size of AI models that sometimes require weeks to train,
Supermicro is developing cloud servers based on the HGX-2 platform. The HGX-2
system will enable efficient training of complex models.”

— Charles Liang,
president and CEO of Supermicro

“We are very
honoured to work with NVIDIA as a partner. The demand for AI cloud computing is
emerging in today’s modern technology environment. I strongly believe the high
performance and modularised flexibility of the HGX-2 system will make great
contributions to various computing areas, ranging from academics and science to
government applications.”

— Jeff Lin,
president of Enterprise Business Group, Wistron

“Wiwynn
specialises in delivering hyperscale data centre and cloud infrastructure
solutions. Our collaboration with NVIDIA and the HGX-2 server building block
will enable us to provide our customers with two petaflops of computing for
computationally intensive AI and HPC workloads.”

                —
Steven Lu, Vice President, Wiwynn

NVIDIA’s (NASDAQ: NVDA) invention of the GPU in
1999 sparked the growth of the PC gaming market, redefined modern computer
graphics and revolutionised parallel computing. More recently, GPU deep
learning ignited modern AI — the next era of computing — with the GPU acting as
the brain of computers, robots and self-driving cars that can perceive and
understand the world. More information at http://nvidianews.nvidia.com/.