Chip comparison
Google TPU v6 (Trillium) vs NVIDIA DRIVE Thor
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 DRIVE Thor |
|---|---|---|
| Process node | — | TSMC 4NP |
| TDP | 200 W | 130 W |
| Memory | 32 GB HBM3 | 128 GB LPDDR5X |
| Memory bandwidth | 1,600 GB/s | — |
| BF16 (dense) | 918 TFLOPS | — |
| FP8 (dense) | 1,836 TFLOPS | 2,000 TFLOPS |
| INT8 (dense) | 1,836 TOPS | 2,000 TOPS |
| Form factor | OAM (Trillium pod, up to 256 chips) | Auto-board |
| Announced | 2024-05-14 | 2022-09-20 |
| Released | 2024-12-01 | 2025-06-01 |
Robots running Google TPU v6 (Trillium)
No robots publicly running it yet.
Robots running NVIDIA DRIVE Thor
Data centers with Google TPU v6 (Trillium)
Data centers with NVIDIA DRIVE Thor
No data centers publicly running it yet.
Common questions
Google TPU v6 (Trillium) vs NVIDIA DRIVE Thor: which is faster for training?
NVIDIA DRIVE Thor has 1.09x the dense FP8 throughput of the other (Google TPU v6 (Trillium): 1,836 TFLOPS; NVIDIA DRIVE Thor: 2,000 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 DRIVE Thor: which has more memory?
NVIDIA DRIVE Thor carries more HBM (Google TPU v6 (Trillium): 32 GB HBM3; NVIDIA DRIVE Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v6 (Trillium) vs NVIDIA DRIVE Thor: which is more power-efficient?
Dense FP8 TFLOPS per watt: Google TPU v6 (Trillium) 9.18 (1,836 ÷ 200 W); NVIDIA DRIVE Thor 15.38 (2,000 ÷ 130 W). NVIDIA DRIVE Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v6 (Trillium) vs NVIDIA DRIVE Thor: which is more widely used?
Google TPU v6 (Trillium): 0 robots and 1 data center publicly running it. NVIDIA DRIVE Thor: 11 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 DRIVE Thor full page.