NVIDIA A40 vs NVIDIA Tesla V100 (32 GB)

The NVIDIA A40 is a workstation graphics card that launched in Q4 2020. It is built on the Ampere GPU microarchitecture (codename GA102) and is manufactured on a 8 nm process.

Memory

The A40 has 48 GB of GDDR6 memory, with a 1,812 MHz memory clock and a 384 bit interface. This gives it a memory bandwidth of 695.8 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 A40 includes 10,752 CUDA cores, the processing units for handling parallel computing tasks. The GPU operates at a core clock speed of 1,305 MHz and can dynamically boost its clock speed up to 1,740 MHz. Complementing the processing units are 336 texture mapping units (TMUs) for efficient texture filtering and 112 render output units (ROPs) for pixel processing. Additionally, the GPU features 336 tensor cores optimized for AI-accelerated workloads and 84 RT cores dedicated to real-time ray tracing calculations.

Compatibility & Power Consumption

The A40 occupies 2 PCIe expansion slots. It supports DisplayPort 1.4a display connections. NVIDIA recommends a power supply of at least 700 W to handle the GPU's thermal design power (TDP) of 300 W.