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Compare · GPUs & AI chips

Blackwell Ultra B300 SXM vs TPU v5p

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #4 VS #13 CHECKED 06 SEPT 2026
Side by side
Verdict

Blackwell Ultra B300 SXM ranks #4 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (2.25 PFLOPS); TPU v5p ranks #13 (459 TFLOPS).

Rank 04 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
2.25 PFLOPS
MakerNVIDIA
Date2025
Verified04 Sept 2026
Evidence
NVIDIA HGX Platform page, HGX B300 row ("8x NVIDIA Blackwell Ultra SXM", shipping now). FP16/BF16 Tensor Core is the same 36 PFLOPS sparse / 18 PFLOPS dense board total as B200, so 2.25 PFLOPS dense per chip. B300's advertised uplift versus B200 is at FP4 and HBM capacity, not at dense FP16/BF16 — so on this metric B200 and B300 are tied.
Rank 13 of 20
Dense FP16/BF16 tensor TFLOPS per chip
459 TFLOPS
MakerGoogle
Date2023
Verified04 Sept 2026
Evidence
Google Cloud TPU v5p documentation, per-chip specification table: "Peak compute per chip (BF16) (TFLOPs) 459". Same page lists FP8 at 459 TFLOPs. 95 GiB 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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