Compare · GPUs & AI chips
TPU v6e (Trillium) vs Gaudi 2
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#11 VS #14
CHECKED 06 SEPT 2026
Side by side
Verdict
TPU v6e (Trillium) ranks #11 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (918 TFLOPS); Gaudi 2 ranks #14 (432 TFLOPS).
Rank 11 of 20 · leads
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.Rank 14 of 20
Dense FP16/BF16 tensor TFLOPS per chip
432 TFLOPS
MakerIntel
Date2022
Verified04 Sept 2026
Evidence
Intel Gaudi 3 white paper (document 817486) comparison table lists Gaudi 2 "BF16 MME TFLOPS 432" and "FP8 MME TFLOPS 865". This row uses the BF16 MME cell. 96 GB HBM2e. The same comparison table is the official Intel source already used for the Gaudi 3 row.Try another pair
More TPU v6e (Trillium) matchups
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- TPU v6e (Trillium) vs Gaudi 3
- TPU v6e (Trillium) vs Instinct MI325X
- TPU v6e (Trillium) vs Instinct MI300X
- TPU v6e (Trillium) vs H200 SXM
- TPU v6e (Trillium) vs H100 SXM
- TPU v6e (Trillium) vs Instinct MI300A
- TPU v6e (Trillium) vs Trainium2
- TPU v6e (Trillium) vs TPU v5p
Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA…
Last checked 06 Sept 2026