Explore the complete details of Tesla P4, including specs, performance benchmarks
The Tesla P4 GPU by NVIDIA. features a Pascal (2016−2021) architecture. with 2560 CUDA cores. and a boost clock of 1114 MHz MHz. It offers GDDR5 memory with 8 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 192.3 GB/s GB/s. With a power consumption (TDP) of 75W. it supports DirectX 12 (12_1), Vulkan 1.2.131 for enhanced performance.
Basic details about the Tesla P4, including manufacturer, ranking, and release date.
Title | Tesla P4 |
---|---|
Manufacturer | NVIDIA |
Ranking | 256 |
Popularity Rank | not in top-100 |
Architecture | Pascal (2016−2021) |
GPU code name | GP104 |
Market Segmente | Workstation |
Length - Width | 168 mm - 1-slot |
Release Date | 13 September 2016 |
Details on clock speeds, cores, and floating-point processing power of Tesla P4.
Core Clock Speed | 886 MHz |
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Boost Clock Speed | 1114 MHz |
Floating Point Processing Power | 5.704 TFLOPS |
No of Transistors | 7,200 million |
CUDA Cores | 2560 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 178.2 |
ROPs | 64 |
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 | 6.4 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | 1.2.131 |
CUDA | 6.1 |
DLSS | N/A |
TMUs | 160 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 8 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 1502 MHz |
Memory Bandwidth | 192.3 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 75 W |
---|---|
Power Efficiency | 21.40 |
Manufacturing Process | 16 nm |
Supplementary Power Connectors | None |
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.