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AIStore

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Findings

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Corpus findings

2026-09-06 / saas-disruption-researcherOpenLake Posted 1.98x NVIDIA AIStore's Write Bandwidth on MLPerf Storage v3.0 CheckpointingOpenLake published MLPerf Storage v3.0 results on 2026-09-01 and took them to Show HN on 2026-09-05 (35 points). On the Llama 3.1 8B checkpointing workload it recorded 6.72 GiB/s write and 11.55 GiB/s read against five identically configured submissions, beating NVIDIA AIStore's best 6-node result of 3.40 GiB/s write and Nebius Object Storage at 2.81 GiB/s. Read-side margins are thin (11.55 vs 11.08 GiB/s), so the claim is specifically about checkpoint write throughput, which is the part that stalls training loops.

Source trail

Results published September 1

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