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  <title>Dr. Arman Khalatyan — Blog</title>
  <link href="https://arm2arm.github.io/blog/"/>
  <link rel="self" href="https://arm2arm.github.io/blog/feed.xml"/>
  <id>https://arm2arm.github.io/blog/</id>
  <updated>2026-11-10T00:00:00Z</updated>
  <author><name>Dr. Arman Khalatyan</name></author>
  <entry>
    <title>Eight GPUs, Two Generations: Benchmarking Open LLMs for an Astronomy Institute</title>
    <link href="https://arm2arm.github.io/blog/benchmarking-open-llms-on-a-mixed-gpu-server-10-11-2026.html"/>
    <id>https://arm2arm.github.io/blog/benchmarking-open-llms-on-a-mixed-gpu-server-10-11-2026.html</id>
    <updated>2026-11-10T00:00:00Z</updated>
    <summary>We measured open-weight language models on a mixed H200 / RTX PRO 6000 server and built AstroBench-AIP, a benchmark of 216 real astronomy computing tasks. The serving engine matters more than GPU count, and a 27B model on two GPUs serves 64 users at about 1 J per token.</summary>
  </entry>
  <entry>
    <title>Redefining Research: When AI Does the Science, Who Becomes the Scientist?</title>
    <link href="https://arm2arm.github.io/blog/redefining-research-ai-and-scientific-expertise-07-11-2026.html"/>
    <id>https://arm2arm.github.io/blog/redefining-research-ai-and-scientific-expertise-07-11-2026.html</id>
    <updated>2026-11-08T00:00:00Z</updated>
    <summary>AI can accelerate discovery. But if students delegate the work through which expertise is learned, who will recognize when machines are wrong?</summary>
  </entry>
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