RTX 6000 Ada vs RTX A5000

The RTX 6000 Ada delivers FP16 performance of 364 TFLOPS dense and 728 TFLOPS with sparsity while the RTX A5000 lists FP16 performance of 222.2 TFLOPS with sparsity only. The FP16 dense figure on the RTX 6000 Ada exceeds its own FP32 figure of 91.1 TFLOPS by a factor of four. Memory bandwidth of 960 GB/s on the RTX 6000 Ada versus 768 GB/s on the RTX A5000 supports larger batch sizes during training and inference workloads. The RTX 6000 Ada also lists FP8 performance of 728.5 TFLOPS dense and 1457 TFLOPS with sparsity together with matching INT8 figures. These dense and sparsity labeled values indicate greater headroom for tensor operations on the RTX 6000 Ada when compared directly to the available sparse FP16 value on the RTX A5000.

The RTX 6000 Ada suits workloads that require 48 GB VRAM and FP32 throughput of 91.1 TFLOPS. Its 960 GB/s bandwidth and 364 TFLOPS dense FP16 performance support larger models than the 24 GB and 27.8 TFLOPS FP32 of the RTX A5000. The 300W TDP remains acceptable when maximum capacity takes priority over power draw.

The RTX A5000 fits environments constrained to 230W TDP and where NVLink connectivity is required. Its 24 GB VRAM and 768 GB/s bandwidth suffice for moderate scale tasks that do not need the 48 GB capacity or 91.1 TFLOPS FP32 of the RTX 6000 Ada.