DEPLOYDatabase

Chip comparison

NVIDIA B100 (Blackwell) vs NVIDIA Jetson AGX 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.

FieldNVIDIA B100 (Blackwell)NVIDIA Jetson AGX Thor
Process nodeTSMC 4NPTSMC 4NP
TDP700 W130 W
Memory192 GB HBM3e128 GB LPDDR5X
Memory bandwidth8,000 GB/s273 GB/s
FP16 (dense)1,750 TFLOPS
BF16 (dense)1,750 TFLOPS
FP8 (dense)3,500 TFLOPS2,070 TFLOPS
INT8 (dense)2,070 TOPS
Form factorSXM6 (700 W envelope)Module (AGX Thor)
Announced2024-03-182024-03-18
Released2024-11-012025-08-01

Robots running NVIDIA B100 (Blackwell)

No robots publicly running it yet.

Robots running NVIDIA Jetson AGX Thor

Data centers with NVIDIA B100 (Blackwell)

No data centers publicly running it yet.

Data centers with NVIDIA Jetson AGX Thor

No data centers publicly running it yet.

Common questions

NVIDIA B100 (Blackwell) vs NVIDIA Jetson AGX Thor: which is faster for training?

NVIDIA B100 (Blackwell) has 1.69x the dense FP8 throughput of the other (NVIDIA B100 (Blackwell): 3,500 TFLOPS; NVIDIA Jetson AGX Thor: 2,070 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

NVIDIA B100 (Blackwell) vs NVIDIA Jetson AGX Thor: which has more memory?

NVIDIA B100 (Blackwell) carries more HBM (NVIDIA B100 (Blackwell): 192 GB HBM3e; NVIDIA Jetson AGX Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA B100 (Blackwell) vs NVIDIA Jetson AGX Thor: which is more power-efficient?

Dense FP8 TFLOPS per watt: NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W); NVIDIA Jetson AGX Thor 15.92 (2,070 ÷ 130 W). NVIDIA Jetson AGX Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.

NVIDIA B100 (Blackwell) vs NVIDIA Jetson AGX Thor: which is more widely used?

NVIDIA B100 (Blackwell): 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX 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 · NVIDIA B100 (Blackwell) full page · NVIDIA Jetson AGX Thor full page.