NVIDIA H200 SXM vs Google Cloud TPU v6e (Trillium): Spec Comparison & Buyer's Guide
In AI infrastructure selection, NVIDIA H200 SXM and Google Cloud TPU v6e (Trillium) 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 | Google Cloud TPU v6e (Trillium) |
|---|---|---|
| Vendor | NVIDIA | |
| Architecture | Hopper GH100 | TPU v6e |
| Process | TSMC 4N | — |
| Release Date | 2024 11 | 2024 12 GA |
| FP8 Compute | 3,958 TFLOPS | — |
| FP16 Compute | — | — |
| FP32 Compute | — | — |
| INT8 Compute | — | 1,836 TOPS |
| Memory Type | — | — |
| Memory Capacity | 141 GB HBM3e | — |
| Memory Bandwidth | 4.8 TB/s | — |
| TDP Power | 700 W | 200 W |
Key Differences
- Power: Google Cloud TPU v6e (Trillium) has a TDP of 200 W, lower than NVIDIA H200 SXM's 700 W, friendlier to datacenter PUE and cooling.
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, Google Cloud TPU v6e (Trillium) 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 Google Cloud TPU v6e (Trillium)?
The core difference is architecture and compute density: NVIDIA H200 SXM uses Hopper GH100, FP8 ~3,958 TFLOPS, memory 141 GB HBM3e; Google Cloud TPU v6e (Trillium) uses TPU v6e, FP8 ~No public FP8 data, memory —. 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 Google Cloud TPU v6e (Trillium) differ in memory capacity?
NVIDIA H200 SXM is 141 GB HBM3e, Google Cloud TPU v6e (Trillium) is —; the gap directly affects loadable model size and context length.
Related Pages
- NVIDIA H200 SXM
- Google Cloud TPU v6e (Trillium)
- AI Chip Comparison Tool — Compare 2–4 chips side-by-side online