Chip comparison
NVIDIA B100 (Blackwell) vs Tesla HW4 (FSD Computer 2)
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 | NVIDIA B100 (Blackwell) | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | TSMC 4NP | Samsung 7LPP |
| TDP | 700 W | 90 W |
| Memory | 192 GB HBM3e | 16 GB GDDR6 |
| Memory bandwidth | 8,000 GB/s | — |
| FP16 (dense) | 1,750 TFLOPS | — |
| BF16 (dense) | 1,750 TFLOPS | — |
| FP8 (dense) | 3,500 TFLOPS | — |
| INT8 (dense) | — | 300 TOPS |
| Form factor | SXM6 (700 W envelope) | Auto-board (dual-SoC) |
| Announced | 2024-03-18 | 2023-01-01 |
| Released | 2024-11-01 | 2023-02-01 |
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with NVIDIA B100 (Blackwell)
No data centers publicly running it yet.
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
NVIDIA B100 (Blackwell) vs Tesla HW4 (FSD Computer 2): which has more memory?
NVIDIA B100 (Blackwell) carries more HBM (NVIDIA B100 (Blackwell): 192 GB HBM3e; Tesla HW4 (FSD Computer 2): 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA B100 (Blackwell) vs Tesla HW4 (FSD Computer 2): which is more widely used?
NVIDIA B100 (Blackwell): 0 robots and 0 data centers publicly running it. Tesla HW4 (FSD Computer 2): 3 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA B100 (Blackwell) full page · Tesla HW4 (FSD Computer 2) full page.