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From scientific discovery to artificial
intelligence, HPC is an important pillar that
fuels the progress of humanity. Modern HPC
data centers are currently solving some of
the greatest challenges facing the world
today. With traditional CPUs no longer
delivering the performance gains they used to,
the path forward for HPC data centers is GPUaccelerated
NVIDIA® Tesla® is the leading platform for
accelerated computing and powers some of the
largest data centers in the world—delivering
significantly higher throughput while saving
money. NVIDIA Tesla P100 powered by NVIDIA®
Pascal™ architecture is the computational
engine for scientific computing and artificial
intelligence. Here are three powerful reasons
to deploy NVIDIA Tesla P100 GPUs to your
data center.

Reason 1: Be Prepared for the AI Revolution


The AI revolution is here, and every data center
should be equipped for it. AI is the engine
behind consumer services we use every day,
like web searches and video recommendations.
In HPC, AI is enabling new ways to solve
complex scientific challenges in bioinformatics,
drug discovery, and high-energy physics.




NVIDIA Tesla P100 is the computational engine
driving the AI revolution and enabling HPC
breakthroughs. For example, researchers at
New York’s Icahn School of Medicine at Mount
Sinai are using deep learning to analyze over
100,000 patient health records to predict
patients likely to develop serious illnesses
and provide treatment up to one year before
traditional diagnoses.




“Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for
progress in critical areas such as health, education, energy, and the environment.”
-Executive Office of the President National Science Technology Council


Reason 2: Top Applications are GPU-Accelerated



Over 400 HPC applications are already GPUoptimized in a wide range of areas including quantum chemistry, molecular dynamics, climate and weather, and more.

In fact, an independent study by Intersect360 Research shows that 70% of the most popular HPC applications, including 9 of top 10 have built-in support for GPUs.

With most popular HPC applications and alldeep learning frameworks GPU-accelerated, every HPC customer would see the majority of their data center workload benefit from GPUaccelerated computing.



Reason 3: Boost Data Center Productivity & Throughput


Data center managers all face the same challenge: how to meet the demand for computing resources that often exceed available cycles in the system.

The NVIDIA Tesla P100 dramatically boosts the throughput of your data center with fewer nodes, completing more jobs and improving data center efficiency.

A single server node with P100 GPUs can replace up to 20 CPU nodes. For example, for MILC, a single node with four P100’s will do the work of 10 dual socket CPU nodes while for HOOMD Blue a single P100 node can replace 21 CPU nodes. With fewer overheads on networking and cables, strong nodes provide high application throughput at substantially reduced costs.




Meet us at the next exhibition:

Frankfurt //
24. Jun. 2018