Space Computing Energy Tech Transport Science Dev Loyalty ↗ ◐ Dark mode ◎ Enable Alerts
Compare · GPUs & AI chips

Instinct MI350X vs TPU v5e

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #2 VS #19 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); TPU v5e ranks #19 (197 TFLOPS).

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 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
Full GPUs & AI chips ranking Spot an error? Send a tip