Explore the complete details of Quadro K6000, including specs, performance benchmarks
The Quadro K6000 GPU by NVIDIA. features a Kepler (2012−2018) architecture. with 2880 CUDA cores. and a boost clock of 902 MHz MHz. It offers GDDR5 memory with 12 GB GB capacity and a 384 Bit-bit interface. delivering a bandwidth of 288.4 GB/s GB/s. With a power consumption (TDP) of 225W. it supports DirectX 12 (11_1), Vulkan + for enhanced performance.
Basic details about the Quadro K6000, including manufacturer, ranking, and release date.
Title | Quadro K6000 |
---|---|
Manufacturer | NVIDIA |
Ranking | 280 |
Popularity Rank | not in top-100 |
Architecture | Kepler (2012−2018) |
GPU code name | GK110B |
Market Segmente | Workstation |
Length - Width | 267 mm - 2-slot |
Release Date | 23 July 2013 |
Details on clock speeds, cores, and floating-point processing power of Quadro K6000.
Core Clock Speed | 797 MHz |
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Boost Clock Speed | 902 MHz |
Floating Point Processing Power | 5.196 TFLOPS |
No of Transistors | 7,080 million |
CUDA Cores | 2880 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 216.5 |
ROPs | 48 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 3.0 x16 |
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Display Connectors | 2x DVI, 2x DisplayPort |
HDMI | N/A |
DirectX | 12 (11_1) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | + |
CUDA | 3.5 |
DLSS | N/A |
TMUs | 240 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 12 GB |
Memory Bus Width | 384 Bit |
Memory Clock Speed | 1502 MHz |
Memory Bandwidth | 288.4 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 225 W |
---|---|
Power Efficiency | 6.34 |
Manufacturing Process | 28 nm |
Supplementary Power Connectors | 2x 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.