A10 vs A30

The A30 delivers 165 TFLOPS dense FP16 compared to the A10 125 TFLOPS dense FP16. This 32 percent advantage in dense FP16 allows the A30 to complete matrix operations in training and inference workloads with fewer cycles when sparsity remains disabled. The A10 31.2 TFLOPS FP32 exceeds the A30 10.3 TFLOPS FP32 by a factor of three and therefore suits precision sensitive scientific kernels that rely on full single precision throughput. Memory bandwidth of 933 GB/s on the A30 versus 600 GB/s on the A10 permits larger batch sizes during dense FP16 inference before memory stalls occur. When sparsity activates the A30 reaches 330 TFLOPS with sparsity in FP16 while the A10 reaches 250 TFLOPS with sparsity in FP16 so the relative ordering stays consistent across both dense and with sparsity modes.

The A10 suits FP32 dominant scientific computing tasks that require its 31.2 TFLOPS FP32 rating. Its 150W TDP also reduces power draw relative to the A30 165W TDP in sustained dense FP32 runs. Workloads that do not benefit from HBM2 bandwidth or NVLink find the A10 adequate at lower operating cost.

The A30 suits LLM inference and fine tuning that exploit its 165 TFLOPS dense FP16 and 933 GB/s bandwidth. NVLink support further enables multi GPU scaling for larger models where the A10 remains limited to PCIe 4.0. Higher INT8 dense performance of 330 TOPS versus 250 TOPS on the A10 adds throughput for quantized inference pipelines.