Explore the complete details of Quadro K2200, including specs, performance benchmarks
The Quadro K2200 GPU by NVIDIA. features a Maxwell (2014−2017) architecture. with 640 CUDA cores. and a boost clock of 1124 MHz MHz. It offers GDDR5 memory with 4 GB GB capacity and a 128 Bit-bit interface. delivering a bandwidth of 80.19 GB/s GB/s. With a power consumption (TDP) of 68W. it supports DirectX 12 (11_0), Vulkan + for enhanced performance.
Basic details about the Quadro K2200, including manufacturer, ranking, and release date.
Title | Quadro K2200 |
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Manufacturer | NVIDIA |
Ranking | 511 |
Popularity Rank | not in top-100 |
Architecture | Maxwell (2014−2017) |
GPU code name | GM107 |
Market Segmente | Workstation |
Length - Width | 202 mm - 1-slot |
Release Date | 22 July 2014 |
Details on clock speeds, cores, and floating-point processing power of Quadro K2200.
Core Clock Speed | 1046 MHz |
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Boost Clock Speed | 1124 MHz |
Floating Point Processing Power | 1.439 TFLOPS |
No of Transistors | 1,870 million |
CUDA Cores | 640 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 44.96 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 1x DVI, 2x DisplayPort |
HDMI | N/A |
DirectX | 12 (11_0) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | + |
CUDA | 5.0 |
DLSS | N/A |
TMUs | 40 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR5 |
---|---|
Maximum RAM | 4 GB |
Memory Bus Width | 128 Bit |
Memory Clock Speed | 1253 MHz |
Memory Bandwidth | 80.19 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 68 W |
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Power Efficiency | 9.33 |
Manufacturing Process | 28 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.