Tesla K80

Data Center GPU

Kepler 2.0 Tesla K Series Data Center Server GDDR5 2014 NVIDIA

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At a Glance

Entry Type: Data Center GPU
Architecture: Kepler 2.0
Series: Tesla K Series
GPU Die: GK210
Launch Date: 2014-11-17
CUDA Cores: 2,496
TMUs: 208
ROPs: 48
Memory: 12 GB GDDR5
Bus Width: 384-bit
TDP/TBP: 300 W
Rec. PSU: 700 W
Interface: PCIe 3.0 x16
Data Confidence: Partial

GPU Specs

Identity
Entry Type	Data Center GPU
Official Name	NVIDIA Tesla K80
GPU Codename	GK210
Architecture	Kepler 2.0
Launch Date	2014-11-17
Market Segment Notes	Data Center in Tesla K Series
Core Specs
GPU Die	GK210
Chip Variant / Package	BGA-2152
Process Node	TSMC 28 nm
Transistor Count	7.1 billion
Die Size	561 mm²
CUDA Cores	2496
SM Count	0
TMUs	208
ROPs	48
Base Clock	562 MHz
Boost Clock	824 MHz
Pixel Fillrate	42.85 GP/s
Texture Fillrate	171.4 GT/s
FP32 Throughput	4.11 TFLOPS
FP64 Throughput	1.37 TFLOPS
Memory
Memory Size	12 GB
Memory Type	GDDR5
Memory Bus Width	384-bit
Memory Clock	1,253 MHz
Memory Bandwidth	240.6 GB/s
L2 Cache	2 MB
L1 Cache	16 KB
Board and Display
TDP / TBP	300 W
Recommended PSU	700 W
Power Connectors	1x 8-pin
Interface	PCIe 3.0 x16
Slot Width	Dual-slot, 267 mm length
Card Length	267 mm
Board Partner Model	Reference or OEM specification
Reference Design	NVIDIA reference design
Software
CUDA Compute Capability	3.7
Shader Model	5.1
DirectX Support	DirectX 11.1
Vulkan Support	Vulkan 1.2
OpenGL Support	OpenGL 4.6
OpenCL Support	OpenCL 3.0
Driver Branch Notes	Driver support depends on architecture, operating system, and current NVIDIA driver branch.
Windows Support Notes	Check the current NVIDIA driver branch and OEM support policy for this exact GPU.
Linux Support Notes	Check the current NVIDIA Linux driver branch, distribution packages, and kernel compatibility for this exact GPU.

Overview

Tesla K80 is an NVIDIA GPU entry in the Tesla K Series family. It is listed with Kepler 2.0 architecture and GK210 silicon.

Key reference data: 2,496 CUDA cores/shaders, 12 GB GDDR5 memory, 384-bit memory bus, 300 W board power class.

Server accelerators should be checked against platform compatibility, cooling, power delivery, firmware, and driver or CUDA support.

Why It Mattered

Tesla K80 is a priority page because it is a dual-GPU Kepler data-center accelerator that still appears in used-market and cloud/HPC discussions. The page must make clear that it is not a normal display GPU and that memory is split per GPU.

Launch Context

Launch context should use NVIDIA's November 2014 announcement for data analytics, scientific computing, and HPC positioning, not gaming positioning.

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.

Collector Relevance

For archival use, record the accelerator form factor, memory capacity, board part number, firmware or VBIOS, cooling type, bracket, interconnect support, power connectors, and the server or workstation it came from.

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.

Driver and Platform Notes

Driver support depends on architecture, operating system, and current NVIDIA driver branch.

Check the current NVIDIA Linux driver branch, distribution packages, and kernel compatibility for this exact GPU.

Check the current NVIDIA driver branch and OEM support policy for this exact GPU.

SourcesPartial

Sources reviewed: 2026-06-21

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

NVIDIA Newsroom, NVIDIA Unveils World's Fastest Accelerator for Data Analytics and Scientific ComputingPrimary launch source for Tesla K80 positioning.Open source
NVIDIA, Tesla K80 GPU Accelerator Board Specification PDFPrimary board-spec source for dual-GPU layout, memory split, cooling, PCIe, and power.Open source
NVIDIA, Tesla K80 GPU Accelerators datasheet PDFPrimary datasheet source for accelerator positioning and feature summary.Open source
NVIDIA, Tesla K80 product pageOfficial product page for data-center accelerator context.Open source

Independent reference sources

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

Derived datasets and spec dumps

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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