NVIDIA A10G vs NVIDIA Tesla V100 (32 GB)

The NVIDIA A10G is a workstation graphics card that launched in Q2 2021. It is built on the Ampere GPU microarchitecture (codename GA102) and is manufactured on a 8 nm process.

Memory

The A10G has 24 GB of GDDR6 memory, with a 1,563 MHz memory clock and a 384 bit interface. This gives it a memory bandwidth of 600.2 Gb/s, which affects how fast it can transfer data to and from memory. GPU memory stores temporary data that helps the GPU with complex math and graphics operations. More memory is generally better, as not having enough can cause performance bottlenecks.

Cores and Clock Speeds

The A10G includes 9,216 CUDA cores, the processing units for handling parallel computing tasks. The GPU operates at a core clock speed of 1,320 MHz and can dynamically boost its clock speed up to 1,710 MHz. Complementing the processing units are 288 texture mapping units (TMUs) for efficient texture filtering and 96 render output units (ROPs) for pixel processing. Additionally, the GPU features 288 tensor cores optimized for AI-accelerated workloads and 72 RT cores dedicated to real-time ray tracing calculations.

Compatibility & Power Consumption

The A10G is a compact, low-profile graphics card that fits into 1 PCIe expansion slot. NVIDIA recommends a power supply of at least 450 W to handle the GPU's thermal design power (TDP) of 150 W.