Explore the complete details of Tesla P40, including specs, performance benchmarks
The Tesla P40 GPU by NVIDIA. features a Pascal (2016−2021) architecture. with 3840 CUDA cores. and a boost clock of 1531 MHz MHz. It offers GDDR5 memory with 24 GB GB capacity and a 384 Bit-bit interface. delivering a bandwidth of 347.1 GB/s GB/s. With a power consumption (TDP) of 250W. it supports DirectX 12 (12_1), Vulkan 1.3 for enhanced performance.
Basic details about the Tesla P40, including manufacturer, ranking, and release date.
Title | Tesla P40 |
---|---|
Manufacturer | NVIDIA |
Ranking | 190 |
Popularity Rank | not in top-100 |
Architecture | Pascal (2016−2021) |
GPU code name | GP102 |
Market Segmente | Workstation |
Length - Width | 267 mm - 2-slot |
Release Date | 13 September 2016 |
Details on clock speeds, cores, and floating-point processing power of Tesla P40.
Core Clock Speed | 1303 MHz |
---|---|
Boost Clock Speed | 1531 MHz |
Floating Point Processing Power | 11.76 TFLOPS |
No of Transistors | 11,800 million |
CUDA Cores | 3840 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 367.4 |
ROPs | 96 |
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 (12_1) |
Shader Model | 6.7 |
OpenGL | 4.6 |
OpenCL | 3.0 |
Vulkan | 1.3 |
CUDA | 6.1 |
DLSS | N/A |
TMUs | 240 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 24 GB |
Memory Bus Width | 384 Bit |
Memory Clock Speed | 1808 MHz |
Memory Bandwidth | 347.1 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 250 W |
---|---|
Power Efficiency | 8.68 |
Manufacturing Process | 16 nm |
Supplementary Power Connectors | 8-pin EPS |
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.