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Chip comparison

Google TPU v7 (Ironwood) vs Google TPU v4

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.

FieldGoogle TPU v7 (Ironwood)Google TPU v4
Process nodeTSMC N7
TDP700 W192 W
Memory192 GB HBM3e32 GB HBM2
Memory bandwidth7,400 GB/s1,200 GB/s
BF16 (dense)4,614 TFLOPS275 TFLOPS
FP8 (dense)9,228 TFLOPS
INT8 (dense)275 TOPS
Form factorOAM (Ironwood pod, up to 9,216 chips)OAM (per-chip in v4 pod)
Announced2025-04-092021-05-18
Released2025-12-012022-05-01

Robots running Google TPU v7 (Ironwood)

No robots publicly running it yet.

Robots running Google TPU v4

No robots publicly running it yet.

Data centers with Google TPU v7 (Ironwood)

No data centers publicly running it yet.

Common questions

Google TPU v7 (Ironwood) vs Google TPU v4: which is faster for training?

Google TPU v7 (Ironwood) has 33.56x the dense FP16/BF16 throughput of the other (Google TPU v7 (Ironwood): 9,228 TFLOPS; Google TPU v4: 275 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

Google TPU v7 (Ironwood) vs Google TPU v4: which has more memory?

Google TPU v7 (Ironwood) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; Google TPU v4: 32 GB HBM2). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

Google TPU v7 (Ironwood) vs Google TPU v4: which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Google TPU v7 (Ironwood) 13.18 (9,228 ÷ 700 W); Google TPU v4 1.43 (275 ÷ 192 W). Google TPU v7 (Ironwood) wins at the die level; system-level efficiency also depends on cooling and interconnect.

Google TPU v7 (Ironwood) vs Google TPU v4: which is more widely used?

Google TPU v7 (Ironwood): 0 robots and 0 data centers publicly running it. Google TPU v4: 0 robots and 2 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · Google TPU v7 (Ironwood) full page · Google TPU v4 full page.