Chip comparison
Google TPU v6 (Trillium) vs SambaNova SN40L
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) | SambaNova SN40L |
|---|---|---|
| Process node | — | TSMC N5 |
| TDP | 200 W | 700 W |
| Memory | 32 GB HBM3 | 1500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5) |
| Memory bandwidth | 1,600 GB/s | — |
| FP16 (dense) | — | 638 TFLOPS |
| BF16 (dense) | 918 TFLOPS | — |
| FP8 (dense) | 1,836 TFLOPS | 1,250 TFLOPS |
| INT8 (dense) | 1,836 TOPS | — |
| Form factor | OAM (Trillium pod, up to 256 chips) | PCIe (SN40L DataScale system) |
| Announced | 2024-05-14 | 2023-09-19 |
| Released | 2024-12-01 | 2024-01-01 |
Robots running Google TPU v6 (Trillium)
No robots publicly running it yet.
Robots running SambaNova SN40L
No robots publicly running it yet.
Data centers with Google TPU v6 (Trillium)
Data centers with SambaNova SN40L
No data centers publicly running it yet.
Common questions
Google TPU v6 (Trillium) vs SambaNova SN40L: which is faster for training?
Google TPU v6 (Trillium) has 1.47x the dense FP8 throughput of the other (Google TPU v6 (Trillium): 1,836 TFLOPS; SambaNova SN40L: 1,250 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 SambaNova SN40L: which has more memory?
SambaNova SN40L carries more HBM (Google TPU v6 (Trillium): 32 GB HBM3; SambaNova SN40L: 1500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5)). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v6 (Trillium) vs SambaNova SN40L: which is more power-efficient?
Dense FP8 TFLOPS per watt: Google TPU v6 (Trillium) 9.18 (1,836 ÷ 200 W); SambaNova SN40L 1.79 (1,250 ÷ 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 SambaNova SN40L: which is more widely used?
Google TPU v6 (Trillium): 0 robots and 1 data center publicly running it. SambaNova SN40L: 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 · SambaNova SN40L full page.