H200 NVL vs MI355X

Compute specifications reveal key trade-offs between the GPUs. The MI355X delivers 2300 TFLOPS in both FP16 and FP32, surpassing the H200's 1979 TFLOPS FP16 and notably its 67 TFLOPS FP32; this FP32 parity benefits training pipelines involving higher precision math or scientific simulations, whereas H200's FP32 deficit suits inference-heavy FP16 or FP8 workloads at 3958 TFLOPS. In real-world training, MI355X's balanced precisions reduce conversion overheads. Memory configurations drive practical impacts: MI355X's 8000 GB/s bandwidth versus H200's 4800 GB/s enables larger batch sizes, cutting iteration times in LLM training by improving data throughput. The 288 GB VRAM on MI355X supports full loading of massive models like 1T+ parameter LLMs without model parallelism, unlike H200's 141 GB limit which necessitates sharding and added latency.

Opt for the H200 NVL in production environments requiring immediate scalability. Live cloud offers start at $0.50 per hour with an average of $2.54 per hour across four providers, enabling quick deployment without waiting for MI355X availability. Its 700W TDP consumes less power than the MI355X's 750W, and NVLink plus PCIe 5.0 interconnects facilitate robust multi-GPU setups for current Hopper-optimized software stacks.

Select the MI355X for forward-looking deployments handling extreme model sizes. The 288 GB HBM3e VRAM accommodates entire large language models on a single GPU, eliminating distribution overheads present with H200's 141 GB. Superior 8000 GB/s bandwidth and 2300 TFLOPS FP32 performance excel in bandwidth-bound training or FP32-intensive tasks.