GH200 vs Quadro P5000

The GH200 provides 989 TFLOPS FP16 dense performance while the Quadro P5000 lists no FP16 figure from the vendor. This FP16 dense to FP32 ratio of 989 to 67 on the GH200 supports larger batch sizes during training and inference compared to the Quadro P5000 FP32 value of 8.9 TFLOPS. Memory bandwidth of 4000 GB/s on the GH200 versus 288 GB/s on the Quadro P5000 permits greater data throughput that accommodates increased batch sizes in memory intensive operations. The GH200 FP8 dense figure of 1979 TFLOPS further widens the gap for precision formats where the Quadro P5000 offers no published value. Sparsity variants on the GH200 reach 1979 TFLOPS FP16 with sparsity against the same dense baseline of 989 TFLOPS.

The GH200 suits scenarios that require 96 GB memory and 4000 GB/s bandwidth for large scale model handling. Workloads such as extensive scientific computing benefit from the 67 TFLOPS FP32 rating and 900W TDP envelope when maximum throughput takes priority over power limits.

The Quadro P5000 fits environments constrained to 180W TDP and PCIe form factors with 16 GB memory. Legacy applications that operate within 8.9 TFLOPS FP32 limits find the 288 GB/s bandwidth adequate without exceeding older system interconnects.