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NVIDIA Tesla V100
Specifications
The Most Advanced Data Center GPU Ever Built.
NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta, the latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once thought impossible.
Three Reasons to Deploy NVIDIA Tesla V100 in Your Data Center
From scientific discovery to artificial intelligence, high performance computing (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 computing.
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 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 center 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 analyze large volumes of data for rapid insights where simulation alone cannot fully predict the real world, in domains like bioinformatics, drug discovery, and highenergy 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 550 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 10 of the top 10 have built-in support for GPUs.
With the most popular HPC applications and all deep learning frameworks GPUaccelerated, every HPC customer would see most of their data center workload benefit from GPU-accelerated computing.
Reason 3: Top Applications are GPU-Accelerated
Data center 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 center with fewer nodes, completing more jobs and improving data center efficiency.
A single server node with V100 GPUs can replace over 60 CPU nodes. For example, for SPECFEM3D, a single node with four V100’s will do the work of 53 dual-socket CPU nodes while for NAMD a single V100 node can replace 13 CPU nodes. With lower networking, power, and rack space overheads, accelerated nodes provide higher application throughput at substantially reduced costs.
Groundbreaking Innovations
Volta Architecture
Tensore Core
Next Generation NVLINK
Maximum Efficiency
HBM2
Programmability
Tesla V100 is the flagship product of Tesla data center computing platform for deep learning, HPC, and graphics. The Tesla platform accelerates over 550 HPC applications and every major deep learning framework. It is available everywhere from desktops to servers to cloud services, delivering both dramatic performance gains and cost savings opportunities.
