Explore the complete details of Quadro 410, including specs, performance benchmarks
The Quadro 410 GPU by NVIDIA. features a Kepler (2012−2018) architecture. with 192 CUDA cores. It offers DDR3 memory with 512 MB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 14.26 GB/s GB/s. With a power consumption (TDP) of 38W. it supports DirectX 12 (11_0), Vulkan 1.1.126 for enhanced performance.
Basic details about the Quadro 410, including manufacturer, ranking, and release date.
Title | Quadro 410 |
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Manufacturer | NVIDIA |
Ranking | 1119 |
Popularity Rank | not in top-100 |
Architecture | Kepler (2012−2018) |
GPU code name | GK107 |
Market Segmente | Workstation |
Length - Width | 176 mm - 1-slot |
Release Date | 7 August 2012 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Quadro 410.
Core Clock Speed | 706 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.2711 TFLOPS |
No of Transistors | 1,270 million |
CUDA Cores | 192 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 11.30 |
ROPs | 8 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
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Display Connectors | 1x DVI, 1x DisplayPort |
HDMI | N/A |
DirectX | 12 (11_0) |
Shader Model | 5.1 |
OpenGL | 4.6 |
OpenCL | 1.2 |
Vulkan | 1.1.126 |
CUDA | 3.0 |
DLSS | N/A |
TMUs | 16 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | DDR3 |
---|---|
Maximum RAM | 512 MB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 891 MHz |
Memory Bandwidth | 14.26 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 38 W |
---|---|
Power Efficiency | 2.06 |
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.