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Accelerated Computing
Solving the World's Most Important Challenges
Accelerated Computing - Solving the World's Most Important Challenges

ACCELERATING DATA CENTER WORKLOADS WITH GPUs

 

From scientific discovery to artificial intelligence, modern high-performance computing (HPC) data centers are key to solving some of the world’s most important challenges. NVIDIA Pascal™-powered GPUs and the NVIDIA® Tesla® accelerated computing platform give these modern data centers the power to accelerate hyperscale, mixed-workload, and strong scale workloads.

Hyperscale HPC

In the new era of artificial intelligence (AI), deep learning is shaping our world like no other computing model in history. Search engines, interactive speech, and video recommendations are just a few of the many AI-based services we use every day. From self-driving cars to more accurate medical diagnosis, the potential of intelligent machines is endless.

NVIDIA Pascal-powered GPUs provide the computing engine for the new era of AI, driving incredible user experiences by accelerating deep learning applications for both training and deployment.

 

DEEP LEARNING TRAINING WITH NVIDIA TESLA P100

Training increasingly complex models faster is key to improving productivity for data scientists and delivering AI services more quickly. Servers powered by the Tesla P100 use the performance of the Pascal architecture to slash deep learning training time from months to hours.

DEEP LEARNING INFERENCING WITH TESLA P40 AND P4

Responsiveness is critical to user adoption for services such as interactive speech, visual search, and video recommendations. As deep learning models increase in accuracy and complexity, CPUs are no longer capable of delivering an interactive user experience. The Tesla P40 and P4 deliver over 40X faster inference performance compared to CPUs for real-time responsiveness.

 
 
 

Mixed-Workload HPC

 

NVIDIA TESLA P100 FOR PCIe

HPC data centers need to support the ever-growing computing demands of scientists and researchers, while staying within a tight budget. The old approach of deploying lots of commodity compute nodes requires vast interconnect overhead that substantially increases costs without proportionally increasing data center performance.

The Tesla P100 for PCIe lets mixed-workload HPC data centers replace up to half a rack of commodity CPU nodes with a single accelerated node that delivers the same throughput in a broad range of HPC applications. With over 400 HPC applications accelerated—including 9 out of top 10—all HPC customers can now experience a dramatic throughput boost for their workloads, while also saving money.

 
 

Strong-Scale HPC

 

NVIDIA TESLA P100 FOR PCIe

HPC data centers need to support the ever-growing computing demands of scientists and researchers, while staying within a tight budget. The old approach of deploying lots of commodity compute nodes requires vast interconnect overhead that substantially increases costs without proportionally increasing data center performance.

The Tesla P100 for PCIe lets mixed-workload HPC data centers replace up to half a rack of commodity CPU nodes with a single accelerated node that delivers the same throughput in a broad range of HPC applications. With over 400 HPC applications accelerated—including 9 out of top 10—all HPC customers can now experience a dramatic throughput boost for their workloads, while also saving money.

 
 
NVIDIA DGX-1 Deep Learning Supercomputer
 
 
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