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Compare · GPUs & AI chips

Gaudi 3 vs TPU v5e

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #5 VS #19 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 v5e ranks #19 (197 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 19 of 20
Dense FP16/BF16 tensor TFLOPS per chip
197 TFLOPS
MakerGoogle
Date2023
Verified04 Sept 2026
Evidence
Google Cloud TPU v5e documentation, per-chip specification table: "Peak compute per chip (bf16) 197 TFLOPs". 16 GB HBM per chip.
Try another pair
Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA… Last checked 06 Sept 2026
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