Chip comparison
Google TPU v6 (Trillium) vs NVIDIA B100 (Blackwell)
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 B100 (Blackwell) |
|---|---|---|
| Process node | — | TSMC 4NP |
| TDP | 200 W | 700 W |
| Memory | 32 GB HBM3 | 192 GB HBM3e |
| Memory bandwidth | 1,600 GB/s | 8,000 GB/s |
| FP16 (dense) | — | 1,750 TFLOPS |
| BF16 (dense) | 918 TFLOPS | 1,750 TFLOPS |
| FP8 (dense) | 1,836 TFLOPS | 3,500 TFLOPS |
| INT8 (dense) | 1,836 TOPS | — |
| Form factor | OAM (Trillium pod, up to 256 chips) | SXM6 (700 W envelope) |
| Announced | 2024-05-14 | 2024-03-18 |
| Released | 2024-12-01 | 2024-11-01 |
Robots running Google TPU v6 (Trillium)
No robots publicly running it yet.
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Data centers with Google TPU v6 (Trillium)
Data centers with NVIDIA B100 (Blackwell)
No data centers publicly running it yet.
Common questions
Google TPU v6 (Trillium) vs NVIDIA B100 (Blackwell): which is faster for training?
NVIDIA B100 (Blackwell) has 1.91x the dense FP8 throughput of the other (Google TPU v6 (Trillium): 1,836 TFLOPS; NVIDIA B100 (Blackwell): 3,500 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 B100 (Blackwell): which has more memory?
NVIDIA B100 (Blackwell) carries more HBM (Google TPU v6 (Trillium): 32 GB HBM3; NVIDIA B100 (Blackwell): 192 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 B100 (Blackwell): which is more power-efficient?
Dense FP8 TFLOPS per watt: Google TPU v6 (Trillium) 9.18 (1,836 ÷ 200 W); NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 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 B100 (Blackwell): which is more widely used?
Google TPU v6 (Trillium): 0 robots and 1 data center publicly running it. NVIDIA B100 (Blackwell): 0 robots and 0 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 B100 (Blackwell) full page.