Explore the complete details of A10G, including specs, performance benchmarks
The A10G GPU by NVIDIA. features a Ampere (2020−2024) architecture. with 9216 CUDA cores. and a boost clock of 1710 MHz MHz. It offers GDDR6 memory with 12 GB GB capacity and a 384 Bit-bit interface. delivering a bandwidth of 600.2 GB/s GB/s. With a power consumption (TDP) of 150W. it supports DirectX 12 Ultimate (12_2), Vulkan 1.2, DLSS 1 for enhanced performance.
Basic details about the A10G, including manufacturer, ranking, and release date.
Title | A10G |
---|---|
Manufacturer | NVIDIA |
Ranking | 74 |
Popularity Rank | not in top-100 |
Architecture | Ampere (2020−2024) |
GPU code name | GA102 |
Market Segmente | Workstation |
Length - Width | 267 mm - 1-slot |
Release Date | 12 April 2021 |
Details on clock speeds, cores, and floating-point processing power of A10G.
Core Clock Speed | 1320 MHz |
---|---|
Boost Clock Speed | 1710 MHz |
Floating Point Processing Power | 31.52 TFLOPS |
No of Transistors | 28,300 million |
CUDA Cores | 9216 |
Ray Tracing Cores | 72 |
Tensor Cores | 288 |
Texture Fill Rate | 492.5 |
ROPs | 96 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 4.0 x16 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 12 Ultimate (12_2) |
Shader Model | 6.6 |
OpenGL | 4.6 |
OpenCL | 3.0 |
Vulkan | 1.2 |
CUDA | 8.6 |
DLSS | 1 |
TMUs | 288 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 12 GB |
Memory Bus Width | 384 Bit |
Memory Clock Speed | 1563 MHz |
Memory Bandwidth | 600.2 GB/s GB/s |
Resizable BAR | 1 |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 150 W |
---|---|
Power Efficiency | 22.10 |
Manufacturing Process | 8 nm |
Supplementary Power Connectors | 8-pin EPS |
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.