Explore the complete details of Quadro K510M, including specs, performance benchmarks
The Quadro K510M GPU by NVIDIA. features a Kepler 2.0 (2013−2015) architecture. with 192 CUDA cores. It offers GDDR5 memory with 1 GB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 19.2 GB/s GB/s. With a power consumption (TDP) of 30W.
Basic details about the Quadro K510M, including manufacturer, ranking, and release date.
| Title | Quadro K510M |
|---|---|
| Manufacturer | NVIDIA |
| Ranking | 990 |
| Popularity Rank | not in top-100 |
| Architecture | Kepler 2.0 (2013−2015) |
| GPU code name | GK208 |
| Market Segmente | Mobile workstation |
| Length - Width | N/A - N/A |
| Release Date | 23 July 2013 |
| Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro K510M.
| Core Clock Speed | 846 MHz |
|---|---|
| Boost Clock Speed | N/A |
| Floating Point Processing Power | 0.3249 TFLOPS |
| No of Transistors | 915 million |
| CUDA Cores | 192 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | 13.54 |
| ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
| Interface | MXM-A (3.0) |
|---|---|
| Display Connectors | No outputs |
| HDMI | N/A |
| DirectX | N/A |
| Shader Model | N/A |
| OpenGL | N/A |
| OpenCL | N/A |
| Vulkan | N/A |
| CUDA | N/A |
| DLSS | N/A |
| TMUs | 16 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | GDDR5 |
|---|---|
| Maximum RAM | 1 GB |
| Memory Bus Width | 64 Bit |
| Memory Clock Speed | 600 MHz |
| Memory Bandwidth | 19.2 GB/s GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | 30 W |
|---|---|
| Power Efficiency | 3.84 |
| Manufacturing Process | 28 nm |
| Supplementary Power Connectors | N/A |
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.
