Compare · GPUs & AI chips
Instinct MI350X vs Blackwell Ultra B300 SXM
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#2 VS #4
CHECKED 06 SEPT 2026
Side by side
Verdict
Instinct MI350X ranks #2 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (2.3 PFLOPS); Blackwell Ultra B300 SXM ranks #4 (2.25 PFLOPS).
Rank 02 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
2.3 PFLOPS
MakerAMD
Date2025
Verified04 Sept 2026
Evidence
AMD Instinct MI350X product page, per-GPU spec: "Peak Half Precision Matrix (FP16) Performance 2.3 PFLOPs" / "Peak bfloat16 (BF16) Matrix Performance 2.3 PFLOPs". Structured-sparsity counterparts are 4.6 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
More Instinct MI350X matchups
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- Instinct MI350X vs Instinct MI300X
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- Instinct MI350X vs Instinct MI300A
- Instinct MI350X vs TPU v6e (Trillium)
- Instinct MI350X vs Trainium2
- Instinct MI350X vs TPU v5p
- Instinct MI350X vs Gaudi 2
Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA…
Last checked 06 Sept 2026