H100 NVL vs MI300X

The MI300X family delivers 1,307.4 TFLOPS in dense FP16 while the H100 family delivers 989 TFLOPS in dense FP16. The same families show 163.4 TFLOPS and 67 TFLOPS respectively in FP32. This gap means the MI300X processes dense FP16 workloads 1.32 times faster than the H100 NVL for training steps or inference passes that rely on dense computation. Memory bandwidth reaches 5,300 GB/s on the MI300X family versus 3,350 GB/s on the H100 family so the MI300X sustains larger batch sizes before memory stalls occur. When sparsity is enabled the MI300X family reaches 2,614.9 TFLOPS in FP16 with sparsity against 1,979 TFLOPS in FP16 with sparsity on the H100 family.

The H100 NVL variant suits deployments that require NVLink bridge connectivity for tight multi GPU scaling within a node. Its 700 W TDP also fits racks with stricter power budgets than the 750 W rating of the MI300X family. The 94 GB capacity remains adequate for models that fit under that limit while the NVL form factor aligns with existing PCIe server infrastructure.

The MI300X variant suits workloads that need 192 GB HBM3 capacity to hold larger models or bigger batches without partitioning. Its 5,300 GB/s bandwidth supports higher throughput on memory bound operations compared with the 3,350 GB/s of the H100 family. The OAM form factor matches systems designed around that module standard.