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Chip comparison

Biren BR100 vs Groq LPU (Language Processing Unit)

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 BR100Groq LPU (Language Processing Unit)
Process nodeTSMC N7GlobalFoundries 14nm
Transistors (B)77
TDP550 W375 W
Memory64 GB HBM2e0.23 GB SRAM (230 MB on-die)
Memory bandwidth2,300 GB/s80,000 GB/s
FP16 (dense)1,024 TFLOPS188 TFLOPS
BF16 (dense)1,024 TFLOPS
INT8 (dense)2,048 TOPS750 TOPS
Form factorOAMPCIe (GroqCard) / rack-scale GroqRack
Announced2022-08-092020-01-01
Released2021-06-01

Robots running Biren BR100

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Robots running Groq LPU (Language Processing Unit)

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Data centers with Biren BR100

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Data centers with Groq LPU (Language Processing Unit)

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Common questions

Biren BR100 vs Groq LPU (Language Processing Unit): which is faster for training?

Biren BR100 has 5.45x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 TFLOPS; Groq LPU (Language Processing Unit): 188 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

Biren BR100 vs Groq LPU (Language Processing Unit): which has more memory?

Biren BR100 carries more HBM (Biren BR100: 64 GB HBM2e; Groq LPU (Language Processing Unit): 0.23 GB SRAM (230 MB on-die)). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Biren BR100 vs Groq LPU (Language Processing Unit): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 W); Groq LPU (Language Processing Unit) 0.50 (188 ÷ 375 W). Biren BR100 wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · Biren BR100 full page · Groq LPU (Language Processing Unit) full page.