Tesla K80

Key Metrics

Architecture
Kepler 2.0
Launch Date
2014-11-17
CUDA Cores
2,496
Memory
12 GB GDDR5
Memory Bandwidth
240.6 GB/s
TDP/TBP
300 W
Interface
PCIe 3.0 x16
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Performance Context

Performance context should focus on CUDA/HPC workloads and should not use gaming tests as representative unless clearly labeled as unsupported hobbyist use.

Architecture Context

Architecture notes should explain the dual-GPU GK210 design, 24 GB total memory as 12 GB per GPU, passive cooling, PCIe Gen3, and 300 W board power from NVIDIA board specs.

Used-Market Caution

Used-market notes should warn about passive data-center cooling, no normal display outputs, platform support, old CUDA/toolchain support, dual-GPU memory split, and power/case requirements.

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.

Pending source review topics:

  • why it mattered
  • launch context
  • performance context
  • competitive context
  • driver and platform notes
  • variant notes
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 Newsroom, NVIDIA Unveils World's Fastest Accelerator for Data Analytics and Scientific ComputingPrimary launch source for Tesla K80 positioning.Open source
  2. NVIDIA, Tesla K80 GPU Accelerator Board Specification PDFPrimary board-spec source for dual-GPU layout, memory split, cooling, PCIe, and power.Open source
  3. NVIDIA, Tesla K80 GPU Accelerators datasheet PDFPrimary datasheet source for accelerator positioning and feature summary.Open source
  4. NVIDIA, Tesla K80 product pageOfficial product page for data-center accelerator context.Open source
  5. NVIDIA Unveils World's Fastest Accelerator For Data Analytics And Scientific ComputingOfficial November 17, 2014 unveiling and shipping announcement for Tesla K80Open source
  6. NVIDIA Tesla K80 GPU Accelerator board specificationOfficial dual-GPU memory, memory-interface, 300 W power-limit, and CPU 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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