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NVIDIA Tesla P100 16GB GPU - System Overview

Description

NVIDIA Tesla P100 16GB GPU edge

The Tesla P100 16GB GPU is a dual-slot card outfitted with the same features as its counterpart, the NVIDIA Tesla P100 12GB GPU, with the exception of the memory specifications. The P100 graphics processor is built on a 16nm process featuring Pascal architecture to power thousands of High-Performance Computing (HPC) applications within quantum chemistry, medical science, financial modeling, and many other fields. Other Tesla P100 GPUs:

NVIDIA Tesla P100 12GB GPU

NVIDIA Tesla P100 SXM2 GPU

Performance

Pascal-powered with 15,300 million transistors, the 16GB PCIe graphics card supports the same features as its complement. It delivers 4.7 TFLOPS of double-precision performance, 9.3 TFLOPS of single-precision performance, and 18.7 TFLOPS of half-precision performance. It also supports 3584 CUDA cores, 224 texture mapping units, and 96 ROPs to provide lightning fast performance in a wide variety of applications like object identification, speech recognition, and search result enhancement.

Memory

Tesla P100 bracket

This GPU is the first NVIDIA GPU to support the second generation of HBM2 with error-correcting code (ECC) protection. The 16GB memory also features Chip-on-Wafer-on-Substrate technology, just like the 12GB card. The only difference between the two PCIe-based GPUs is the memory specification. The 16GB CoWoS HBM2 memory runs at 715MHz and is connected to a 4096-bit memory interface with a 732GB/s bandwidth. The GPU also runs at a frequency of 1190MHz, which can be boosted to 1329MHz.

Features

Providing the power to tackle the most computationally intensive AI and HPC applications, this is the first NVIDIA Pascal GPUs to support Page Migration Engine. This allows developers to concentrate on high-performance tuning and less on data movement management and allows applications to scale beyond the physical memory size of the GPU with virtual memory paging support. By permitting developers to see a single memory space for the whole node, unified memory technology significantly enhances efficiency. The dual-slot card draws 250W from an 8-pin power connector, but there is no display connectivity for this unit, as it’s not meant to have monitors connected to it.

Summary

As one of three variants within the NVIDIA Tesla P100 family, the Nvidia Tesla P100 16GB GPU can take on any complex workload with its Pascal architecture and advanced technology. With 16GB of memory, 3584 CUDA cores, NVIDIA’s Page Migration Engine, and HBM2 memory for maximum flexibility, this card offers substantial credentials for a number of high-performance workloads.

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NVIDIA Tesla P100 16GB GPU - Specifications

Render Configurations
  • NVIDIA CUDA Cores: 3,584
  • TMUs: 224
  • ROPs: 96
  • SM Count: 56
  • L1 Cache: 24KB (per SM)
  • L2 Cache: 4MB
Memory
    GPU Memory: 16GB HBM2
  • Memory Interface: 4096-bit
  • Memory Bandwidth: Up to 732 GB/s
Performance
  • Double-Precision Performance: 4.7 TFLOPS
  • Single-Precision Performance: 9.3 TFLOPS
  • Half-Precision Performance: 18.7 GFLOPS
  • Transistor Count: 15,300 million
Clock Speeds
  • Base Clock: 1190 MHz
  • Boost Clock: 1329 MHz
  • Memory Clock: 715 MHz/1430 Mbps effective
Processor
  • Architecture: Pascal
  • GP100 graphics processor
  • Fabrication Process: 16nm
Bus Interface
  • PCI Express 3.0 x 16
Power Consumption
  • 250W
  • Power connector: 1x 8-pin
Form Factor
  • 4.4” H × 10.5” L
  • Full-Height, Dual-slot
Display Connectors
  • None
Engine
    Graphics Features

  • DirectX 12.1
  • CUDA 6.0
  • Vulkan 1.2
  • OpenGL 4.6
  • OpenCL 1.2
  • Shader Model 6.4

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NVIDIA Tesla P100 16GB GPU - Documentation

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