Tesla P100 PCI-E Nvidia Graphic Card

Tesla P100 Graphic Card PCI-E 16 GB, which are connected using a 4096-bit memory interface, GPU 1190 MHz frequency, which can be boosted up to 1329 MHz, memory is running at 715 MHz. Being a dual-slot card,

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Tesla P100 PCI-E Nvidia Graphic Card

Nvidia Tesla P100 Graphic Card PCI-E 16 GB, which are connected using a 4096-bit memory interface, GPU 1190 MHz frequency, which can be boosted up to 1329 MHz, memory is running at 715 MHz.

Being a dual-slot card, the NVIDIA Tesla P100 PCIe 16 GB draws power from 1x 8-pin power connector, with power draw rated at 250 W maximum.

NVIDIA Tesla P100 device has no display connectivity, as it is not designed to have monitors connected to it.Tesla P100 PCI-E Nvidia Graphic Card

Tesla P100 PCIe 16 GB is connected to the rest of the system using a PCI-Express 3.0 x16 interface. The card measures 267 mm in length, and features a dual-slot cooling solution.

Today’s data centers rely on many interconnected commodity compute nodes, which limits high performance computing (HPC) and hyperscale workloads.

NVIDIA Tesla P100 taps into NVIDIA Pascal GPU architecture to deliver a unified platform for accelerating both HPC and AI, dramatically increasing throughput while also reducing costs.

The NVIDIA  Server Graphics Card is designed for scientific and research applications

Its 3584 CUDA cores and 16GB of HBM2 vRAM linked via a 4096-bit interface provide performance to the order of 9.3 TFLOPS at single precision, 18.7 TFLOPS at half precision, and 4.7 TFLOPS at double precision.

GPU design allows this card to perform tasks previously designated to large rackmount compute clusters.

As this is a server GPU, no hardware outputs are offered.

Additionally, the NVIDIA Tesla P100 uses a passive heatsink cooler.

This cooler design uses no moving parts for increased reliability and reduced power consumption.

However, the design is dependent on the server’s internal airflow to cool the GPU.

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