Explore the complete details of Tesla K80, including specs, performance benchmarks
The Tesla K80 GPU by NVIDIA. features a Kepler 2.0 (2013−2015) architecture. with 2496 ×2 CUDA cores. and a boost clock of 824 MHz MHz. It offers GDDR5 memory with 12 GB ×2 GB capacity and a 384 Bit ×2-bit interface. delivering a bandwidth of 240.6 GB/s ×2 GB/s. With a power consumption (TDP) of 300W. it supports DirectX 12 (11_1), Vulkan 1.1.126 for enhanced performance.
Basic details about the Tesla K80, including manufacturer, ranking, and release date.
Title | Tesla K80 |
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Manufacturer | NVIDIA |
Ranking | 432 |
Popularity Rank | not in top-100 |
Architecture | Kepler 2.0 (2013−2015) |
GPU code name | GK210 |
Market Segmente | Workstation |
Length - Width | 267 mm - 2-slot |
Release Date | 17 November 2014 |
Details on clock speeds, cores, and floating-point processing power of Tesla K80.
Core Clock Speed | 562 MHz |
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Boost Clock Speed | 824 MHz |
Floating Point Processing Power | 4.113 TFLOPS ×2 |
No of Transistors | 7,100 million |
CUDA Cores | 2496 ×2 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 171.4 ×2 |
ROPs | 48 ×2 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
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Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (11_1) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | 1.1.126 |
CUDA | 3.7 |
DLSS | N/A |
TMUs | 208 ×2 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
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Maximum RAM | 12 GB ×2 |
Memory Bus Width | 384 Bit ×2 |
Memory Clock Speed | 1253 MHz |
Memory Bandwidth | 240.6 GB/s ×2 GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 300 W |
---|---|
Power Efficiency | 2.76 |
Manufacturing Process | 28 nm |
Supplementary Power Connectors | 1x 8-pin |
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.