Explore the complete details of RTX A500, including specs, performance benchmarks
The RTX A500 GPU by NVIDIA. features a Ampere (2020−2024) architecture. with 2048 CUDA cores. and a boost clock of 1770 MHz MHz. It offers GDDR6 memory with 4 GB GB capacity and a 64 Bit-bit interface. delivering a bandwidth of 112.0 GB/s GB/s. With a power consumption (TDP) of 60W. it supports DirectX 12 Ultimate (12_2), Vulkan 1.3, DLSS 1 for enhanced performance.
Basic details about the RTX A500, including manufacturer, ranking, and release date.
Title | RTX A500 |
---|---|
Manufacturer | NVIDIA |
Ranking | 332 |
Popularity Rank | not in top-100 |
Architecture | Ampere (2020−2024) |
GPU code name | GA107 |
Market Segmente | Workstation |
Length - Width | N/A - 1-slot |
Release Date | 10 November 2021 |
Details on clock speeds, cores, and floating-point processing power of RTX A500.
Core Clock Speed | 1440 MHz |
---|---|
Boost Clock Speed | 1770 MHz |
Floating Point Processing Power | 7.25 TFLOPS |
No of Transistors | N/A |
CUDA Cores | 2048 |
Ray Tracing Cores | 16 |
Tensor Cores | 64 |
Texture Fill Rate | 113.3 |
ROPs | 32 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 4.0 x8 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 Ultimate (12_2) |
Shader Model | 6.7 |
OpenGL | 4.6 |
OpenCL | 3.0 |
Vulkan | 1.3 |
CUDA | 8.6 |
DLSS | 1 |
TMUs | 64 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 4 GB |
Memory Bus Width | 64 Bit |
Memory Clock Speed | 1750 MHz |
Memory Bandwidth | 112.0 GB/s GB/s |
Resizable BAR | 1 |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 60 W |
---|---|
Power Efficiency | 19.70 |
Manufacturing Process | 8 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.