Chip comparison
Biren BR100 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.
| Field | Biren BR100 | NVIDIA Jetson AGX Thor |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| Transistors (B) | 77 | — |
| TDP | 550 W | 130 W |
| Memory | 64 GB HBM2e | 128 GB LPDDR5X |
| Memory bandwidth | 2,300 GB/s | 273 GB/s |
| FP16 (dense) | 1,024 TFLOPS | — |
| BF16 (dense) | 1,024 TFLOPS | — |
| FP8 (dense) | — | 2,070 TFLOPS |
| INT8 (dense) | 2,048 TOPS | 2,070 TOPS |
| Form factor | OAM | Module (AGX Thor) |
| Announced | 2022-08-09 | 2024-03-18 |
| Released | — | 2025-08-01 |
Robots running Biren BR100
No robots publicly running it yet.
Data centers with Biren BR100
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
Biren BR100 vs NVIDIA Jetson AGX Thor: which is faster for training?
NVIDIA Jetson AGX Thor has 2.02x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 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.
Biren BR100 vs NVIDIA Jetson AGX Thor: which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (Biren BR100: 64 GB HBM2e; 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.
Biren BR100 vs NVIDIA Jetson AGX Thor: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 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.
Biren BR100 vs NVIDIA Jetson AGX Thor: which is more widely used?
Biren BR100: 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 · Biren BR100 full page · NVIDIA Jetson AGX Thor full page.