Three reasons to deploy NVIDIA Tesla V100 in your data centre

Posted on 29 September, 2017

From scientific discovery to artificial intelligence, high performance computing (HPC) is an important pillar that fuels the progress of humanity. Modern HPC data centres 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 GPU accelerated computing.

NVIDIA® Tesla® is the leading platform for accelerated computing and powers some of the largest data centres in the world—delivering significantly higher throughput while saving money. NVIDIA Tesla V100 powered by NVIDIA Volta™ architecture is the computational engine for scientific computing and artificial intelligence. Here are three powerful reasons to deploy NVIDIA Tesla V100 GPUs to your data center.

Reason 1: Be Prepared for the AI Revolution

The AI revolution is here, and every data centre should be equipped for it. AI is the engine behind consumer services we use every day, like web searches and video recommendations. AI extends traditional HPC by allowing researchers to analyse large volumes of data for rapid insights where
simulation alone cannot fully predict the real world, in domains like bioinformatics, drug discovery, and high energy physics.

NVIDIA Tesla V100 is the computational engine driving the AI revolution and enabling HPC breakthroughs. For example, researchers at the University of Florida University and University of North Carolina leveraged GPU deep learning to develop ANAKIN-ME (ANI) to reproduce molecular energy surfaces at extremely high (DFT) accuracy and 1-10/millionths of the cost of current computational methods.

Reason 2: Top Applications are GPU-Accelerated

Over 450 HPC applications are already GPU optimised 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 10 of the top 10 have built-in support for GPUs. With the most popular HPC applications and all deep learning frameworks GPU accelerated, every HPC customer would see most of their data center workload benefit from GPU-accelerated computing.



Reason 3: Boost Data Centre Productivity & Throughput

Data centre managers all face the same challenge: how to meet the demand for computing resources that often exceed available cycles in the system. NVIDIA Tesla V100 dramatically boosts the throughput of your data centre with fewer nodes, completing more jobs and improving data centre efficiency. A single server node with V100 GPUs can replace up to 50 CPU nodes. For example, for HOOMD-Blue, a single node with four V100’s will do the work of 43 dual-socket CPU nodes while for MILC a single V100 node can replace 14 CPU nodes. With lower networking, power, and rack space overheads, accelerated nodes provide higher application throughput at substantially reduced costs.

Reason 4: Boston are able to provide the broadest range of V100 optimised solutions

Find out more about the portfolio here.

Tags: HPC, AI, GPU, CPU, NVIDIA, Tesla, Volta, V100, Reasons

RSS Feed

Sign up to our RSS feed and get the latest news delivered as it happens.

click here

Test out any of our solutions at Boston Labs

To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available

Contact us

There are no events coming up right now.