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Posts on ZML

Company blog · zml.ai/postsaisystems

Posts on ZML is the company blog at zml.ai, writing about ai and systems. Since 2026, 5 different Hacker News readers have linked it 7 times, most often “The Universal LLM Server”. It is still writing: the last post was on 2026-10-29, and you can follow it by feed.

Visit the blog
7mentions?
5HN people?
2026–2026first – last linked?

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

HN readers link ZML's posts about its inference stack, including the llmd page. The only comment here asks how Magnitude compares to llmd and links to it, without judging the writing.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

ZML is a production inference stack, purpose-built to decouple AI workloads from proprietary hardware.

Most-linked posts?

  1. The Universal LLM Server
    2 people · 2 mentions · first linked 2026-09-30
  2. Promising inference software, written in Zig
    2 people · 2 mentions · first linked 2026-07-08
  3. Zml-smi: universal monitoring tool for GPUs, TPUs and NPUs
    2 people · 2 mentions · first linked 2026-03-31

What Hacker News says?

  1. How does this compare to ZML's llmd https://zml.ai/llmd/ ?

    Comment linking /llmd/

    on “Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents”
  2. Submitted Zml-smi: universal monitoring tool for GPUs, TPUs and NPUs as a story · 4 points

    HN discussion
  3. Submitted The Universal LLM Server as a story · 2 points

    HN discussion
  4. Submitted Promising inference software, written in Zig as a story · 1 points

    HN discussion
  5. Submitted ZML/LLMD alpha – cross platform LLM server as a story · 1 points

    HN discussion
  6. Submitted Universal diagnostic and monitoring tool for GPUs, TPUs and NPUs as a story · 1 points

    HN discussion
  7. Submitted ZML/v2: Frontier performance through composability as a story · 1 points

    HN discussion

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