NVIDIA Tesla Pascal Solutions

NVIDIA Tesla Pascal GPU Architecture

Pascal is the NVIDIA codename for the GPU microarchitecture, and successor to the NVIDIA Maxwell architecture. The architecture was first introduced in April 2016 with the release of the Tesla P100. Pascal was manufactured using the 16nm FinFET process. The Successor to Pascal is The Volta Architecture, with the release of the Volta-based GV100 chip in June 2017. Volta is the first chip to feature Tensor cores, specially designed cores that have superior deep learning performance over regular CUDA cores.

Learn more about NVIDIA Tesla based Solutions

	P100 for SXM2 900-2H403-0000-000	P100 for PCIe 900-2H400-0000-000 900-2H400-0010-000	P40 900-2G610-0000-000	P4 900-2G414-0000-000
CUDA CORES	3584	3584	2560	3840
DOUBLE PRECISION	5.3 TFLOPS	4.7 TFLOPS	2.8 TFLOPS	5.3 TFLOPS
SINGLE PRECISION	10.6 TFLOPS	9.3 TFLOPS	5.5 TFLOPS	12 TFLOPS
HALF PRECISION	21.2 TFLOPS	18.7 TFLOPS	11 TFLOPS	24 TFLOPS
NVLINK BANDWIDTH	160 GB/s	-	-	-
PCIE BANDWIDTH	32 GB/s	32 GB/s	-	-
MEMORY	16 GB	16 GB \| 12 GB	8 GB	24 GB
MEMORY BANDWIDTH	720 GB/s	720 GB/s \| 540 GB/s	192 GB/s	346 GB/s

Volta Architecture Featuring NVIDIA Tensor Cores for Deep Learning

Tensor Cores are a key capability enabling the Volta GPU architecture to deliver the performance required to train large neural networks. Each NVIDIA Volta V100 contains 640 Tensor Cores, which are designed specifically for deep learning delivering groundbreaking performance—up to 12X higher peak teraflops (TFLOPS) for training and 6X higher peak TFLOPS for inference. This key capability enables the Volta Architecture to deliver 3X performance speedups in training and inference over the previous generation.

NVIDIA TESLA P100 PERFORMANCE

Dual CPU server, latest E5-2689 v3 @2.3 GHz, 256 GB System Memory | *M40 for Caffe/AlexNet

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NVIDIA Tesla Pascal GPU Architecture

P100 for SXM2

P100 for PCIe

P40

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Volta Architecture Featuring NVIDIA Tensor Cores for Deep Learning

NVIDIA TESLA P100 PERFORMANCE

NVIDIA Tesla Pascal GPU Products