Compare · GPUs & AI chips
Gaudi 3 vs TPU v6e (Trillium)
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#5 VS #11
CHECKED 06 SEPT 2026
Side by side
Verdict
Gaudi 3 ranks #5 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (1.678 PFLOPS); TPU v6e (Trillium) ranks #11 (918 TFLOPS).
Rank 05 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
1.678 PFLOPS
MakerIntel
Date2024
Verified04 Sept 2026
Evidence
Intel Gaudi 3 AI Accelerator white paper (Intel document 817486), product-comparison table: "BF16 MME TFLOPS 1678" for Gaudi 3. The same paper's MME-precision table lists BF16 and FP8 at 1678 TFLOPS and "FP16 (signed)" at 459 TFLOPS — so this row is the BF16 matrix figure. 128 GB HBM2e. Not an FP16=BF16 part in the NVIDIA/AMD sense; the difference is disclosed here rather than hidden.Rank 11 of 20
Dense FP16/BF16 tensor TFLOPS per chip
918 TFLOPS
MakerGoogle
Date2024
Verified04 Sept 2026
Evidence
Google Cloud TPU v6e documentation, per-chip specification table: "Peak compute per chip (bf16) 918 TFLOPs". Google does not publish a separate dense FP16 cell for v6e; this row uses the official per-chip BF16 figure. 32 GB HBM per chip.Try another pair
More Gaudi 3 matchups
Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA…
Last checked 06 Sept 2026