NVIDIA H200 SXM vs AMD Instinct MI300X: Spec Comparison & Buyer's Guide
In AI infrastructure selection, NVIDIA H200 SXM and AMD Instinct MI300X are two accelerators frequently compared. This article contrasts them item by item — architecture, compute, memory, power, and release cadence — to help you quickly judge which fits training or inference workloads.
Spec Comparison Table
| Vendor | NVIDIA H200 SXM | AMD Instinct MI300X |
|---|---|---|
| Vendor | NVIDIA | AMD |
| Architecture | Hopper GH100 | CDNA 3 |
| Process | TSMC 4N | TSMC 5nm + 6nm |
| Release Date | 2024 11 | 2023-06-13 |
| FP8 Compute | 3,958 TFLOPS | — |
| FP16 Compute | — | — |
| FP32 Compute | — | 65.3 TFLOPS |
| INT8 Compute | — | — |
| Memory Type | — | — |
| Memory Capacity | 141 GB HBM3e | 192 GB HBM3 |
| Memory Bandwidth | 4.8 TB/s | 5,300 GB/s |
| TDP Power | 700 W | 750 W |
Key Differences
- Power: NVIDIA H200 SXM has a TDP of 700 W, lower than AMD Instinct MI300X's 750 W, friendlier to datacenter PUE and cooling.
- Memory capacity: AMD Instinct MI300X packs 192 GB HBM3, more than NVIDIA H200 SXM's 141 GB HBM3e, more comfortable for single-card hosting of very large models.
Selection Advice
- When chasing extreme single-card compute and a mature toolchain, prioritize NVIDIA H200 SXM; if budget, power wall, or local support are hard constraints, AMD Instinct MI300X often fits better. Use this site's AI Compute Card Comparison Tool to validate multiple chips side-by-side before deciding.
FAQ
What are the main differences between NVIDIA H200 SXM and AMD Instinct MI300X?
The core difference is architecture and compute density: NVIDIA H200 SXM uses Hopper GH100, FP8 ~3,958 TFLOPS, memory 141 GB HBM3e; AMD Instinct MI300X uses CDNA 3, FP8 ~No public FP8 data, memory 192 GB HBM3. See the comparison table above.
What is the TDP (power) of NVIDIA H200 SXM?
NVIDIA H200 SXM has a TDP of 700 W; actual whole-system power also includes board, fans, and PUE.
Which is better for large-model training / inference?
Training values memory capacity, bandwidth, and multi-card interconnect; inference values single-card throughput and power efficiency. Combine the "Key Differences" and "Selection Advice" above with your batch size, model size, and SLA.
How much do NVIDIA H200 SXM and AMD Instinct MI300X differ in memory capacity?
NVIDIA H200 SXM is 141 GB HBM3e, AMD Instinct MI300X is 192 GB HBM3; the gap directly affects loadable model size and context length.
Related Pages
- NVIDIA H200 SXM
- AMD Instinct MI300X
- AI 算力卡对比工具 — Compare 2–4 chips side-by-side online