Chip comparison
Google TPU v6 (Trillium) vs NVIDIA GB200 Grace Blackwell Superchip
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | Google TPU v6 (Trillium) | NVIDIA GB200 Grace Blackwell Superchip |
|---|---|---|
| Process node | — | TSMC 4NP |
| TDP | 200 W | 2700 W |
| Memory | 32 GB HBM3 | 384 GB HBM3e |
| Memory bandwidth | 1,600 GB/s | 16,000 GB/s |
| BF16 (dense) | 918 TFLOPS | — |
| FP8 (dense) | 1,836 TFLOPS | 9,000 TFLOPS |
| INT8 (dense) | 1,836 TOPS | — |
| Form factor | OAM (Trillium pod, up to 256 chips) | Superchip (2xB200 + 1xGrace) |
| Announced | 2024-05-14 | 2024-03-18 |
| Released | 2024-12-01 | 2024-12-01 |
Robots running Google TPU v6 (Trillium)
No robots publicly running it yet.
Robots running NVIDIA GB200 Grace Blackwell Superchip
No robots publicly running it yet.
Data centers with Google TPU v6 (Trillium)
Data centers with NVIDIA GB200 Grace Blackwell Superchip
Common questions
Google TPU v6 (Trillium) vs NVIDIA GB200 Grace Blackwell Superchip: which is faster for training?
NVIDIA GB200 Grace Blackwell Superchip has 4.90x the dense FP8 throughput of the other (Google TPU v6 (Trillium): 1,836 TFLOPS; NVIDIA GB200 Grace Blackwell Superchip: 9,000 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Google TPU v6 (Trillium) vs NVIDIA GB200 Grace Blackwell Superchip: which has more memory?
NVIDIA GB200 Grace Blackwell Superchip carries more HBM (Google TPU v6 (Trillium): 32 GB HBM3; NVIDIA GB200 Grace Blackwell Superchip: 384 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v6 (Trillium) vs NVIDIA GB200 Grace Blackwell Superchip: which is more power-efficient?
Dense FP8 TFLOPS per watt: Google TPU v6 (Trillium) 9.18 (1,836 ÷ 200 W); NVIDIA GB200 Grace Blackwell Superchip 3.33 (9,000 ÷ 2700 W). Google TPU v6 (Trillium) wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v6 (Trillium) vs NVIDIA GB200 Grace Blackwell Superchip: which is more widely used?
Google TPU v6 (Trillium): 0 robots and 1 data center publicly running it. NVIDIA GB200 Grace Blackwell Superchip: 0 robots and 11 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v6 (Trillium) full page · NVIDIA GB200 Grace Blackwell Superchip full page.