Explore the complete details of P106-090, including specs, performance benchmarks
The P106-090 GPU by NVIDIA. features a Pascal (2016−2021) architecture. with 768 CUDA cores. and a boost clock of 1531 MHz MHz. It offers GDDR5 memory with 3 GB GB capacity and a 192 Bit-bit interface. delivering a bandwidth of 192.2 GB/s GB/s. With a power consumption (TDP) of 75W. it supports DirectX 12 (12_1), Vulkan 1.3 for enhanced performance.
Basic details about the P106-090, including manufacturer, ranking, and release date.
Title | P106-090 |
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Manufacturer | NVIDIA |
Ranking | 612 |
Popularity Rank | not in top-100 |
Architecture | Pascal (2016−2021) |
GPU code name | GP106 |
Market Segmente | Workstation |
Length - Width | 250 mm - 2-slot |
Release Date | 31 July 2017 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of P106-090.
Core Clock Speed | 1354 MHz |
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Boost Clock Speed | 1531 MHz |
Floating Point Processing Power | 2.352 TFLOPS |
No of Transistors | 4,400 million |
CUDA Cores | 768 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 73.49 |
ROPs | 48 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 1.0 x1 |
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Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 (12_1) |
Shader Model | 6.8 |
OpenGL | 4.6 |
OpenCL | 3.0 |
Vulkan | 1.3 |
CUDA | 6.1 |
DLSS | N/A |
TMUs | 48 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 3 GB |
Memory Bus Width | 192 Bit |
Memory Clock Speed | 2002 MHz |
Memory Bandwidth | 192.2 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 75 W |
---|---|
Power Efficiency | 5.99 |
Manufacturing Process | 16 nm |
Supplementary Power Connectors | 1x 6-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.