NVIDIA H100 SXM vs Intel Gaudi 3: Spec Comparison & Buyer's Guide
In AI infrastructure selection, NVIDIA H100 SXM and Intel Gaudi 3 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 H100 SXM | Intel Gaudi 3 |
|---|---|---|
| Vendor | NVIDIA | Intel |
| Architecture | Hopper GH100 | Gaudi 3 |
| Process | TSMC 4N | TSMC 5nm |
| Release Date | 2022 3 GTC | 2024 4 |
| FP8 Compute | 3,958 TFLOPS | — |
| FP16 Compute | — | — |
| FP32 Compute | 67 TFLOPS | — |
| INT8 Compute | — | — |
| Memory Type | — | — |
| Memory Capacity | 80 GB HBM3 | 128 GB HBM2e |
| Memory Bandwidth | 3.35 TB/s | 3.67 TB/s |
| TDP Power | 700 W | 900 W |
Key Differences
- Power: NVIDIA H100 SXM has a TDP of 700 W, lower than Intel Gaudi 3's 900 W, friendlier to datacenter PUE and cooling.
- Memory capacity: Intel Gaudi 3 packs 128 GB HBM2e, more than NVIDIA H100 SXM's 80 GB HBM3, more comfortable for single-card hosting of very large models.
Selection Advice
- When chasing extreme single-card compute and a mature toolchain, prioritize NVIDIA H100 SXM; if budget, power wall, or local support are hard constraints, Intel Gaudi 3 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 H100 SXM and Intel Gaudi 3?
The core difference is architecture and compute density: NVIDIA H100 SXM uses Hopper GH100, FP8 ~3,958 TFLOPS, memory 80 GB HBM3; Intel Gaudi 3 uses Gaudi 3, FP8 ~No public FP8 data, memory 128 GB HBM2e. See the comparison table above.
What is the TDP (power) of NVIDIA H100 SXM?
NVIDIA H100 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 H100 SXM and Intel Gaudi 3 differ in memory capacity?
NVIDIA H100 SXM is 80 GB HBM3, Intel Gaudi 3 is 128 GB HBM2e; the gap directly affects loadable model size and context length.
Related Pages
- NVIDIA H100 SXM
- Intel Gaudi 3
- AI 算力卡对比工具 — Compare 2–4 chips side-by-side online