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Chip comparison

Biren BR100 vs NVIDIA GB300 (Blackwell Ultra)

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.

FieldBiren BR100NVIDIA GB300 (Blackwell Ultra)
Process nodeTSMC N7TSMC 4NP
Transistors (B)77
TDP550 W1400 W
Memory64 GB HBM2e288 GB HBM3e
Memory bandwidth2,300 GB/s8,000 GB/s
FP16 (dense)1,024 TFLOPS
BF16 (dense)1,024 TFLOPS
FP8 (dense)5,000 TFLOPS
INT8 (dense)2,048 TOPS
Form factorOAMSuperchip (Blackwell Ultra + Grace)
Announced2022-08-092025-03-18
Released2025-11-01

Robots running Biren BR100

No robots publicly running it yet.

Robots running NVIDIA GB300 (Blackwell Ultra)

No robots publicly running it yet.

Data centers with Biren BR100

No data centers publicly running it yet.

Data centers with NVIDIA GB300 (Blackwell Ultra)

Common questions

Biren BR100 vs NVIDIA GB300 (Blackwell Ultra): which is faster for training?

NVIDIA GB300 (Blackwell Ultra) has 4.88x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 TFLOPS; NVIDIA GB300 (Blackwell Ultra): 5,000 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 GB300 (Blackwell Ultra): which has more memory?

NVIDIA GB300 (Blackwell Ultra) carries more HBM (Biren BR100: 64 GB HBM2e; NVIDIA GB300 (Blackwell Ultra): 288 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Biren BR100 vs NVIDIA GB300 (Blackwell Ultra): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 W); NVIDIA GB300 (Blackwell Ultra) 3.57 (5,000 ÷ 1400 W). NVIDIA GB300 (Blackwell Ultra) wins at the die level; system-level efficiency also depends on cooling and interconnect.

Biren BR100 vs NVIDIA GB300 (Blackwell Ultra): which is more widely used?

Biren BR100: 0 robots and 0 data centers publicly running it. NVIDIA GB300 (Blackwell Ultra): 0 robots and 1 data center. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · Biren BR100 full page · NVIDIA GB300 (Blackwell Ultra) full page.