Unlimited computing power for unlimited possibilities
The innovative NVIDIA-Pascal™-architecture is specifically designed for computer systems, which can learn, see and simulate our world – a world which is demanding more and more computing power.
Artificial intelligence for self-propelled cars. Predictions for our climate. New medicine for cancer treatment. For some of the most important challenges we must urgently find a solution, which require enormous computing efforts, though. Today‘s computing centres rely on many inter-connected standard computing nodes. This, however, slows performance, which would be necessary for important calculations in the areas High Performance Computing (HPC) and Hyperscale.
Pascal is the most performant computing architecture in a graphics processor ever developed. It turns an ordinary computer into a supercomputer with a performance unrivaled to date. Pascal delivers a performance of more than 5 TeraFLOPs at double the speed for HPC-calculations. In the field of Deep Learning a Pascal-powered system reaches a performance jump by more than 12 times current graphics processor architectures would, when conditioning neural networks.
More than 400 HPC-applications, in particular 9 out of the 10 most important ones, and all Deep-Learning-Frameworks have been accelerated already. Each HPC-customer can therefore use accelerating graphics processors in their computing centre.
Find out if your application is being accelerated by NVIDIA® GPUs. See the link below: read more
Three reasons to deploy NVIDIA® Tesla® P100 in your Data Center
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 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 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.
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.
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 all deep learning frameworks GPU-accelerated, every HPC customer would see the majority of their data center workload benefit from GPUaccelerated computing.
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.