Explore the complete details of Quadro GV100, including specs, performance benchmarks
The Quadro GV100 GPU by NVIDIA. features a Volta (2017−2020) architecture. with 5120 CUDA cores. and a boost clock of 1627 MHz MHz. It offers HBM2 memory with 32 GB GB capacity and a 4096 Bit-bit interface. delivering a bandwidth of 868.4 GB/s GB/s. With a power consumption (TDP) of 250W. it supports DirectX 12 (12_1), Vulkan 1.2.131, DLSS 1 for enhanced performance.
Basic details about the Quadro GV100, including manufacturer, ranking, and release date.
Title | Quadro GV100 |
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Manufacturer | NVIDIA |
Ranking | 61 |
Popularity Rank | not in top-100 |
Architecture | Volta (2017−2020) |
GPU code name | GV100 |
Market Segmente | Workstation |
Length - Width | 267 mm - 2-slot |
Release Date | 27 March 2018 |
Details on clock speeds, cores, and floating-point processing power of Quadro GV100.
Core Clock Speed | 1132 MHz |
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Boost Clock Speed | 1627 MHz |
Floating Point Processing Power | 16.66 TFLOPS |
No of Transistors | 21,100 million |
CUDA Cores | 5120 |
Ray Tracing Cores | N/A |
Tensor Cores | 640 |
Texture Fill Rate | 520.6 |
ROPs | 128 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
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Display Connectors | 4x DisplayPort |
HDMI | N/A |
DirectX | 12 (12_1) |
Shader Model | 6.4 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | 1.2.131 |
CUDA | 7.0 |
DLSS | 1 |
TMUs | 320 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | HBM2 |
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Maximum RAM | 32 GB |
Memory Bus Width | 4096 Bit |
Memory Clock Speed | 848 MHz |
Memory Bandwidth | 868.4 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 | 14.04 |
Manufacturing Process | 12 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.