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NVIDIA Tesla V100 DGXS 32 GB

FP16 throughput
1.3×10¹⁴ FLOP/s
Memory
29.8 GB
TDP
250 W

NVIDIA Tesla V100 DGXS 32 GB is an AI accelerator designed by NVIDIA (GPU), released in March 2018. It is built on a 12 nm process at TSMC, packing 21.1B transistors.

It delivers 1.3×10¹⁴ FLOP/s of tensor FP16/BF16 throughput. It carries 29.8 GB of memory at 835 GB/s of bandwidth. Its thermal design power is 250 W.

Full record
Manufacturer
NVIDIA
Type
GPU
Release date
Mar 27, 2018
Tensor FP16/BF16
1.3×10¹⁴ FLOP/s
FP32
1.6×10¹³ FLOP/s
FP64
7.8×10¹² FLOP/s
Memory
29.8 GB
Memory bandwidth
835 GB
TDP
250 W
Process node
12 nm
Transistors (millions)
21,100
Die size (mm2)
815
Foundry
TSMC
Tensor cores
640
More from NVIDIA
SourceEpoch AI, 'Machine Learning Hardware'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/machine-learning-hardware. Licensed under CC BY 4.0.
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