Explore the complete details of Tesla M2090, including specs, performance benchmarks
The Tesla M2090 GPU by NVIDIA. features a Fermi 2.0 (2010−2014) architecture. with 512 CUDA cores. It offers GDDR5 memory with 6 GB GB capacity and a 384 Bit-bit interface. delivering a bandwidth of 177.4 GB/s GB/s. With a power consumption (TDP) of 250W. it supports DirectX 12 (11_0), Vulkan N/A for enhanced performance.
Basic details about the Tesla M2090, including manufacturer, ranking, and release date.
Title | Tesla M2090 |
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Manufacturer | NVIDIA |
Ranking | 506 |
Popularity Rank | not in top-100 |
Architecture | Fermi 2.0 (2010−2014) |
GPU code name | GF110 |
Market Segmente | Workstation |
Length - Width | 248 mm - 2-slot |
Release Date | 25 July 2011 |
Details on clock speeds, cores, and floating-point processing power of Tesla M2090.
Core Clock Speed | 651 MHz |
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Boost Clock Speed | N/A |
Floating Point Processing Power | 1.332 TFLOPS |
No of Transistors | 3,000 million |
CUDA Cores | 512 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 41.66 |
ROPs | 48 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (11_0) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | 2.0 |
DLSS | N/A |
TMUs | 64 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 6 GB |
Memory Bus Width | 384 Bit |
Memory Clock Speed | 924 MHz |
Memory Bandwidth | 177.4 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 250 W |
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Power Efficiency | 2.60 |
Manufacturing Process | 40 nm |
Supplementary Power Connectors | 1x 6-pin + 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.