NVIDIA H100 vs AMD Instinct MI300X: Which to Choose in India?
Compare NVIDIA H100 SXM and AMD Instinct MI300X GPUs for AI training and HPC. VRAM, bandwidth, performance, and ecosystem analysis for Indian enterprises.
| Spec | NVIDIA H100 SXM | AMD Instinct MI300X |
|---|---|---|
| vram | 80 GB HBM3 | 192 GB HBM3 |
| memory bandwidth | 3.35 TB/s | 5.3 TB/s |
| fp16 tflops | 989.4 TFLOPS (with sparsity) | 1307.4 TFLOPS (dense) |
| tdp | 700W | 750W |
| form factor | SXM5 | OAM (OCP Accelerator Module) |
Best for Performance
AMD Instinct MI300X
Best for Value
AMD Instinct MI300X
Choose NVIDIA H100 SXM if...
You need the broadest software ecosystem support (CUDA), rely on NVIDIA-optimised frameworks like TensorRT, NeMo, or Triton, or require proven multi-node training at scale with NVLink and NVSwitch. NVIDIA's mature software stack and widespread community support reduce integration risk.
Choose AMD Instinct MI300X if...
You need maximum VRAM capacity (192 GB) for very large models without tensor parallelism, want superior memory bandwidth for memory-bound inference workloads, or are comfortable with the ROCm software ecosystem. The MI300X offers compelling price-to-performance for LLM inference.
We don't publish prices. They change with supply and import costs. Contact us for current India pricing →
Frequently Asked Questions
Is AMD ROCm mature enough for production AI workloads?
ROCm has improved significantly and supports PyTorch and JAX natively. However, CUDA still has a larger ecosystem of optimised libraries, pre-trained models, and community support. For straightforward training and inference with PyTorch, ROCm works well. For workloads requiring TensorRT, Triton Inference Server, or NVIDIA-specific tools, CUDA remains necessary.
Can 192 GB VRAM on the MI300X run a 70B parameter model on a single GPU?
Yes. The MI300X's 192 GB HBM3 can fit a 70B parameter model in FP16 on a single GPU without tensor parallelism. This is a significant advantage over the H100's 80 GB, which requires at least 2 GPUs for the same model in FP16.
Are AMD MI300X GPUs available in India?
AMD Instinct MI300X availability in India is growing through OEM partners. However, supply is still more limited compared to NVIDIA GPUs. Contact RawCompute for current availability and lead times.
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