GPU Accelerated Computing
Accelerate Deep Learning, Analytics and Engineering Applications with NVIDIA® GPUs
NVIDIA® Tesla® GPUs for the Most Demanding HPC, Hyperscale, and Enterprise Workloads

Advancing scientific discovery and enabling enterprise insight for consumers involves increasingly complex and sophisticated workloads requiring the most powerful compute architectures. NVIDIA Tesla GPU accelerators are the world’s most advanced data center GPUs, designed to deliver unprecedented throughput for HPC applications, Deep learning and Artificial Intelligence, and desktop graphics virtualization.

Silicon Mechanics GPU-optimized servers and HPC systems support the latest GPU accelerator technology from NVIDIA to provide scalability and breakthrough power efficiency across a wide array of applications. Our easily configurable systems enable seamless integration of GPU computing for the world's most complex computational problems.

                                        

Not sure if GPU Computing is right for you? We want to help you find the best Accelerated Computing solution for your organization. Contact us today to Boost Up!



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Which GPU is right for you?
HPC
Target Optimization
Key Features
Recommended Configuration

P100 SXM2
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NVIDIA® Tesla® P100 SXM2

TeraFLOPS measurements with NVIDIA GPU Boost™ technology

Hyper-Scale HPC and Deep Learning Training

  • Up to 5.3 TFLOPS Double-Precision Performance
  • Up to 10.6 TFLOPS Single-Precision Performance
  • Up to 21.2 TFLOPS Half-Precision
  • NVIDIA® NVLink™ High-Speed Interconnect
  • 16GB HBM2 Memory
  • 8-way NVLink Hybrid Cube Mesh
  • 4-way NVLink Direct Connect

P100 PCIe
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NVIDIA® Tesla® P100 PCIe

TeraFLOPS measurements with NVIDIA GPU Boost™ technology

Mixed Workload HPC Data Centers

  • Up to 4.7 TFLOPS Double-Precision Performance
  • Up to 9.3 TFLOPS Single-Precision Performance
  • Up to 18.7 TFLOPS Half-Precision
  • 16GB or 12GB HBM2 Memory
  • Up to 4 per node

K80
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NVIDIA® Tesla® K80

TeraFLOPS measurements with NVIDIA GPU Boost™ technology

Mixed Workload HPC Data Centers

  • Dual-GPU Design
  • Up to 2.9 TFLOPS Double-Precision Performance
  • Up to 8.7 TFLOPS Single-Precision Performance
  • 24GB GDDR5 Memory
  • Up to 4 per node
Deep Learning | AI
Target Optimization
Key Features
Recommended Configuration

P40
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NVIDIA® Tesla® P40

* With Boost Clock Enabled

Deep Learning Training and Inference

  • Up to 47 TOPS INT8 Operations
  • Up to 11.8 TFLOPS Single-Precision Performance
  • 24GB GDDR5 Memory
  • Up to 8 per node

P4
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NVIDIA® Tesla® P4

* With Boost Clock Enabled

Deep Learning Inference
and Video Transcoding

  • Up to 22 TOPS INT8 Operations
  • Up to 5.5 TFLOPS Single-Precision Performance
  • Low-Profile PCIe Form Factor
  • Under 75W
  • 1-2 per node

M40
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NVIDIA® Tesla® M40

TeraFLOPS measurements with NVIDIA GPU Boost™ technology

Deep Learning Training

  • Up to 6.8 TFLOPS Single-Precision Performance
  • 24GB or 12GB GDDR5 Memory
  • Up to 4 per node

M4
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NVIDIA® Tesla® M4

TeraFLOPS measurements with NVIDIA GPU Boost™ technology

Deep Learning Inference

  • Up to 2.2 TFLOPS Single-Precision Performance
  • 4GB GDDR5 Memory
  • Low-Profile PCIe Form Factor
  • Under 75W
  • 1-2 per node
Virtualization
Target Optimization
Key Features
Recommended Configuration

M60
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NVIDIA® Tesla® M60

TeraFLOPS measurements with NVIDIA GPU Boost™ technology

High-Performance Graphics Virtualization
and Virtual Desktop Applications

  • Dual-GPU Design
  • 4096 Total NVIDIA® CUDA® Cores
  • Up to 32 vGPU Profiles
  • 16GB GDDR5 Memory
  • Up to 4 per node

M10
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NVIDIA® Tesla® M10

TeraFLOPS measurements with NVIDIA GPU Boost™ technology

User-Density Graphics Virtualization
and Virtual Desktop Applications

  • Quad-GPU Design
  • 2560 Total NVIDIA® CUDA® Cores
  • Up to 64 vGPU Profiles
  • 32GB GDDR5 Memory
  • 1-2 per node