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Compare · GPUs & AI chips

Instinct MI355X vs Blackwell Ultra B300 SXM

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #1 VS #4 CHECKED 06 SEPT 2026
Side by side
Verdict

Instinct MI355X ranks #1 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (2.5 PFLOPS); Blackwell Ultra B300 SXM ranks #4 (2.25 PFLOPS).

Rank 01 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
2.5 PFLOPS
MakerAMD
Date2025
Verified04 Sept 2026
Evidence
AMD Instinct MI355X product page, per-GPU spec: "Peak Half Precision Matrix (FP16) Performance 2.5 PFLOPs" and "Peak bfloat16 (BF16) Matrix Performance 2.5 PFLOPs". Structured-sparsity counterparts on the same page are 5 PFLOPs and were not used. Launch date on the page: 12 June 2025. 288 GB HBM3E.
Rank 04 of 20
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.
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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