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We Beat MLPerf: Modern Storage for KV Offload and LLM Training

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HN · launched Sep 5, 2026 · 35 upvotes (top 19%) · 0 views

Niche: llm optimization tools · 127 launches, 9 in the last 7 days ▲ +50% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • B2B
  • AI feature
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No Beating MLPerf storage benchmarks for LLM training and KV offload requires specialized low-level kernel, storage fabric, and high-performance distributed systems engineering.

What it would actually take: Building this requires systems programming in C++ or Rust using io_uring, SPDK, RDMA/RoCE, and GPUDirect Storage (GDS) to bypass standard OS filesystem overhead. The hard parts are saturating 400Gbps+ interconnects, minimizing tail latencies under massive concurrent GPU read/write bursts, and managing tiered NVMe/DRAM offloading. This demands a team of world-class distributed storage engineers and access to expensive multi-GPU testing clusters.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one : 3269 launches clear the similarity bar, closest 8 shown.

Attention rank: #610 of 3270 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 310 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.