DEPLOYDatabase

Chip comparison

NVIDIA B200 (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.

FieldNVIDIA B200 (Blackwell)Tesla HW4 (FSD Computer 2)
Process nodeTSMC 4NPSamsung 7LPP
Transistors (B)208
TDP1000 W90 W
Memory192 GB HBM3e16 GB GDDR6
Memory bandwidth8,000 GB/s
FP16 (dense)2,250 TFLOPS
BF16 (dense)2,250 TFLOPS
FP8 (dense)4,500 TFLOPS
INT8 (dense)4,500 TOPS300 TOPS
Form factorSXM6Auto-board (dual-SoC)
Announced2024-03-182023-01-01
Released2024-11-012023-02-01

Robots running NVIDIA B200 (Blackwell)

No robots publicly running it yet.

Robots running Tesla HW4 (FSD Computer 2)

Data centers with Tesla HW4 (FSD Computer 2)

No data centers publicly running it yet.

Common questions

NVIDIA B200 (Blackwell) vs Tesla HW4 (FSD Computer 2): which has more memory?

NVIDIA B200 (Blackwell) carries more HBM (NVIDIA B200 (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 B200 (Blackwell) vs Tesla HW4 (FSD Computer 2): which is more widely used?

NVIDIA B200 (Blackwell): 0 robots and 3 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 B200 (Blackwell) full page · Tesla HW4 (FSD Computer 2) full page.