<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Optimizations on Tenu Tech Brief</title>
    <link>https://cluster-site.onrender.com/tags/optimizations/</link>
    <description>Recent content in Optimizations on Tenu Tech Brief</description>
    <generator>Hugo -- 0.146.0</generator>
    <language>en-us</language>
    <lastBuildDate>Wed, 25 Feb 2026 07:59:02 +0000</lastBuildDate>
    <atom:link href="https://cluster-site.onrender.com/tags/optimizations/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>🗓️ WiCT Meetup - Saturday, March 14, 2026: Compiler Optimizations for CPU-GPU Heterogeneous Systems</title>
      <link>https://cluster-site.onrender.com/posts/%EF%B8%8F-wict-meetup-saturday-march-14-2026-compiler-optimizations-for-cpu-gpu-heterogeneous-systems/</link>
      <pubDate>Mon, 23 Feb 2026 18:06:47 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/%EF%B8%8F-wict-meetup-saturday-march-14-2026-compiler-optimizations-for-cpu-gpu-heterogeneous-systems/</guid>
      <description>• 🗓️ WiCT Meetup - Saturday, March 14, 2026: Compiler Optimizations for CPU-GPU Heterogeneous Systems WiCT Meetup - Saturday, March 14, 2026: Compiler Optimizations for CPU-GPU Het</description>
    </item>
    <item>
      <title>Automating Inference Optimizations with NVIDIA TensorRT LLM AutoDeploy</title>
      <link>https://cluster-site.onrender.com/posts/automating-inference-optimizations-with-nvidia-tensorrt-llm-autodeploy/</link>
      <pubDate>Mon, 09 Feb 2026 18:30:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/automating-inference-optimizations-with-nvidia-tensorrt-llm-autodeploy/</guid>
      <description>• NVIDIA TensorRT LLM enables developers to build high-performance inference engines for large language models (LLMs), but deploying a new architecture traditionally requires signi</description>
    </item>
  </channel>
</rss>
