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Chip comparison

Groq LPU (Language Processing Unit) 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.

FieldGroq LPU (Language Processing Unit)Tesla HW4 (FSD Computer 2)
Process nodeGlobalFoundries 14nmSamsung 7LPP
TDP375 W90 W
Memory0.23 GB SRAM (230 MB on-die)16 GB GDDR6
Memory bandwidth80,000 GB/s
FP16 (dense)188 TFLOPS
INT8 (dense)750 TOPS300 TOPS
Form factorPCIe (GroqCard) / rack-scale GroqRackAuto-board (dual-SoC)
Announced2020-01-012023-01-01
Released2021-06-012023-02-01

Robots running Groq LPU (Language Processing Unit)

No robots publicly running it yet.

Robots running Tesla HW4 (FSD Computer 2)

Data centers with Groq LPU (Language Processing Unit)

No data centers publicly running it yet.

Data centers with Tesla HW4 (FSD Computer 2)

No data centers publicly running it yet.

Common questions

Groq LPU (Language Processing Unit) vs Tesla HW4 (FSD Computer 2): which has more memory?

Tesla HW4 (FSD Computer 2) carries more HBM (Groq LPU (Language Processing Unit): 0.23 GB SRAM (230 MB on-die); 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.

Groq LPU (Language Processing Unit) vs Tesla HW4 (FSD Computer 2): which is more widely used?

Groq LPU (Language Processing Unit): 0 robots and 0 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 · Groq LPU (Language Processing Unit) full page · Tesla HW4 (FSD Computer 2) full page.