Tesla M10

MaxwellTesla M SeriesData CenterServerGDDR52016NVIDIA

Key Metrics

Architecture
Maxwell
Launch Date
2016-05-17
CUDA Cores
640
Memory
8 GB GDDR5
Memory Bandwidth
83.2 GB/s
TDP/TBP
225 W
Interface
PCIe 3.0 x16
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Why It Mattered

Tesla M10 is a Tesla M Series accelerator from the Maxwell 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.

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Sources

Sources reviewed: 2026-08-13

This entry is still being source-checked.

Source Status

Source review pending. Treat narrative notes as incomplete until listed sources are reviewed.

Data confidence and source status

Partial entry. Core specifications may be present, but history, variant notes, known issues, and source review may be incomplete.

  • Verified: core specifications and historical notes have been reviewed against listed sources.
  • Partial: core specifications may be present, but history, variant notes, known issues, and source review may be incomplete.
  • Imported: spec-only imported entry pending editorial source review.
  • Needs source review: narrative notes are incomplete until reviewed.

Primary / manufacturer sources

  1. NVIDIA GRID Delivers 100 Graphics-Accelerated Virtual Desktops per ServerOfficial May 17, 2016 introduction of Tesla M10Open source
  2. NVIDIA Tesla M10 product briefOfficial four-GPU memory, memory-interface, 225 W board-power, and PCIe 8-pin connector specificationsOpen source

Independent reference sources

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

Derived datasets and spec dumps

  1. RightNow GPU DatabaseOpen data inventory used for bulk normalization and cross-checking Derived/spec-dump source. Treat as a reference dataset, not independent historical verification.Open source

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