NVIDIA Tesla P100 16GB GPU – System Overview
Description

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

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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