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    <description>Deep dives into distributed GPU architecture, engineering decisions, and the technology powering OpenRelay's fault-tolerant inference platform.</description>
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      <title>--n-gpu-layers in llama.cpp: how to set -ngl</title>
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      <description>What llama.cpp&apos;s --n-gpu-layers (-ngl) puts on the GPU, how to size it from free VRAM and the GGUF file, and what fails when it is set too high.</description>
      <pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Gemma 4 Optimization with Agentic Kernel Engineering</title>
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      <description>How OpenRelay&apos;s kernel agents got 1.5x more traffic out of each AMD MI355X serving Gemma 4 31B, at the same latency target and the same accuracy. We are open-sourcing all of it.</description>
      <pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate>
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      <title>orl 0.4: GPU pods, VM sizing, and spend in the OpenRelay CLI</title>
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      <description>orl 0.4 adds GPU pods, VM sizing checks before launch, per-VM burn rates, and expedited batch inference. Install it and rent a GPU from your terminal.</description>
      <pubDate>Sat, 26 Sep 2026 00:00:00 GMT</pubDate>
      <category>Release</category>
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      <title>OpenRelay is Backed by Y Combinator</title>
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      <description>We&apos;re building the CDN of inference: a distributed GPU network that makes fast, affordable, fault-tolerant AI compute available to everyone. Here&apos;s why, and what comes next.</description>
      <pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate>
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