MI300X vs H100

Peak FP16 performance reveals a clear leader: the H100 delivers 1979 TFLOPS compared to the MI300X's 1307 TFLOPS, enabling faster matrix multiplications essential for deep learning training phases. This advantage translates to quicker convergence in neural network optimization, particularly for models relying on half-precision computations. Conversely, the MI300X's 163 TFLOPS FP32 throughput doubles the H100's 67 TFLOPS, benefiting scientific simulations and workloads requiring single-precision accuracy without tensor core reliance.

FP8 capabilities underscore inference strengths, with H100 at 3958 TFLOPS outpacing MI300X's 2614 TFLOPS, supporting high-throughput serving of quantized large language models. Memory specifications shift priorities: MI300X's 192 GB HBM3 and 5300 GB/s bandwidth accommodate vastly larger batch sizes than H100's 80-94 GB and 3350 GB/s, reducing overhead in memory-constrained training of models exceeding 100 billion parameters.

Power draw differences of 750W for MI300X versus 700W for H100 impact density in racks, yet the MI300X sustains higher sustained throughput in bandwidth-bound scenarios due to its 58 percent bandwidth edge.

Select the MI300X for memory-intensive applications such as training massive language models that demand over 100 GB VRAM, where its 192 GB HBM3 capacity exceeds the H100's 80-94 GB limit. This GPU excels in scenarios with large batch sizes enabled by 5300 GB/s bandwidth, minimizing data transfer bottlenecks during FP32-heavy scientific computing at 163 TFLOPS.

High-performance computing tasks involving extensive datasets favor the MI300X, as its OAM form factor and Infinity Fabric interconnect support scalable clusters without current cloud availability constraints.

Opt for the H100 in compute-dominated workloads like LLM inference, leveraging its 3958 TFLOPS FP8 performance for quantized model deployment at scale. Training pipelines benefit from 1979 TFLOPS FP16, accelerating iterations across diverse AI frameworks optimized for Hopper architecture.

Immediate cloud accessibility makes H100 preferable, with pricing from $0.80 per hour across 22 offers, alongside versatile form factors like SXM5 and NVLink for high-bandwidth multi-GPU setups.