Chip comparison
Google TPU v4 vs Intel Gaudi 3
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 | Google TPU v4 | Intel Gaudi 3 |
|---|---|---|
| Process node | TSMC N7 | TSMC N5 |
| TDP | 192 W | 900 W |
| Memory | 32 GB HBM2 | 128 GB HBM2e |
| Memory bandwidth | 1,200 GB/s | 3,675 GB/s |
| FP16 (dense) | — | 1,835 TFLOPS |
| BF16 (dense) | 275 TFLOPS | 1,835 TFLOPS |
| FP8 (dense) | — | 1,835 TFLOPS |
| INT8 (dense) | 275 TOPS | — |
| Form factor | OAM (per-chip in v4 pod) | OAM |
| Announced | 2021-05-18 | 2024-04-09 |
| Released | 2022-05-01 | 2024-09-01 |
Robots running Google TPU v4
No robots publicly running it yet.
Robots running Intel Gaudi 3
No robots publicly running it yet.
Data centers with Google TPU v4
Data centers with Intel Gaudi 3
No data centers publicly running it yet.
Common questions
Google TPU v4 vs Intel Gaudi 3: which is faster for training?
Intel Gaudi 3 has 6.67x the dense FP16/BF16 throughput of the other (Google TPU v4: 275 TFLOPS; Intel Gaudi 3: 1,835 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Google TPU v4 vs Intel Gaudi 3: which has more memory?
Intel Gaudi 3 carries more HBM (Google TPU v4: 32 GB HBM2; Intel Gaudi 3: 128 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v4 vs Intel Gaudi 3: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v4 1.43 (275 ÷ 192 W); Intel Gaudi 3 2.04 (1,835 ÷ 900 W). Intel Gaudi 3 wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v4 vs Intel Gaudi 3: which is more widely used?
Google TPU v4: 0 robots and 2 data centers publicly running it. Intel Gaudi 3: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v4 full page · Intel Gaudi 3 full page.