Tesla V100 DGXS 32 GB

Key Metrics

Launch Date
2018-03-27
CUDA Cores
5,120
Memory
32 GB HBM2
Memory Bandwidth
897 GB/s
TDP/TBP
300 W
Interface
PCIe 3.0 x16
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Why It Mattered

Tesla V100 DGXS 32 GB is a Tesla V Series accelerator from the Volta generation. Its historical context is data-center deployment rather than gaming, so form factor, memory capacity, interconnect, virtualization features, and server compatibility are the details that make this entry useful.

Used-Market Caution

Before buying used, confirm PCIe versus SXM or OAM form factor, passive airflow needs, auxiliary power, HBM size, firmware locks, ECC or retired-page errors, seller proof from nvidia-smi under load, and whether any vGPU or enterprise licensing is required.

Sources

Primary / manufacturer sources

  1. NVIDIA Boosts World's Leading Deep Learning Computing Platform, Bringing 10x Performance Gain in Six MonthsOfficial March 27, 2018 V100 32 GB and DGX-2 launchOpen source
  2. NVIDIA Tesla V100 GPU Architecture whitepaperOfficial V100 HBM2 interface, SXM2 300 W specification, and DGX-1 V100 16 GB-per-GPU configurationOpen source
  3. NVIDIA V100 Tensor Core GPU datasheetOfficial 16/32 GB V100, 300 W SXM2, and 32 GB/250 W V100S specificationsOpen source

Independent reference sources

  1. TechPowerUp GPU SpecsModel-level specification reference for this GPU entryOpen source

Reference databases

  1. RightNow GPU DatabaseOpen GPU database used to cross-check specifications A reference database: good for cross-checking specifications, but not proof of the original release details on its own.Open source