<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>OpenRelay Engineering Blog</title>
    <link>https://openrelay.inc/blog</link>
    <description>Deep dives into distributed GPU architecture, engineering decisions, and the technology powering OpenRelay's fault-tolerant inference platform.</description>
    <language>en-us</language>
    <lastBuildDate>Fri, 18 Sep 2026 10:25:26 GMT</lastBuildDate>
    <atom:link href="https://openrelay.inc/blog/feed.xml" rel="self" type="application/rss+xml"/>
    <item>
      <title>AI Best Practices: Cutting LLM Pipeline Costs Without Losing Quality</title>
      <link>https://openrelay.inc/blog/ai-best-practices</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/ai-best-practices</guid>
      <description>Two changes that cut most LLM pipeline bills 3-10x: right-size the model so a 20B screens the easy majority, and cache the shared prefix so repeated system prompts bill at one tenth the rate.</description>
      <pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate>
      <category>Best Practices</category>
    </item>
    <item>
      <title>OpenRelay is Backed by Y Combinator</title>
      <link>https://openrelay.inc/blog/openrelay-backed-by-y-combinator</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/openrelay-backed-by-y-combinator</guid>
      <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>
      <category>Company</category>
    </item>
    <item>
      <title>How One Team Cut $4,000/mo in Vercel Build Costs with OpenRelay Runners</title>
      <link>https://openrelay.inc/blog/vercel-build-savings</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/vercel-build-savings</guid>
      <description>Replacing Vercel&apos;s build infrastructure with OpenRelay self-hosted GitHub runners saved $4,000/month in build minutes: with faster builds and zero config overhead.</description>
      <pubDate>Fri, 10 Apr 2026 00:00:00 GMT</pubDate>
      <category>Case Study</category>
    </item>
    <item>
      <title>Next-Gen GPUs Explained: H200, GB200, B200, MI300X for AI Inference</title>
      <link>https://openrelay.inc/blog/next-gen-gpus-explained</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/next-gen-gpus-explained</guid>
      <description>A complete guide to NVIDIA H200, GB200 NVL72, B200, and AMD MI300X GPUs. Specs, pricing, availability, and when each GPU makes sense for your AI workloads.</description>
      <pubDate>Thu, 29 Jan 2026 00:00:00 GMT</pubDate>
      <category>Hardware Guide</category>
    </item>
    <item>
      <title>The Environmental Case for Distributed GPU Computing</title>
      <link>https://openrelay.inc/blog/environmental-case-for-distributed-gpu</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/environmental-case-for-distributed-gpu</guid>
      <description>Why reusing existing consumer GPUs for AI inference is greener than building new data centers. The environmental argument for distributed networks.</description>
      <pubDate>Thu, 29 Jan 2026 00:00:00 GMT</pubDate>
      <category>Industry</category>
    </item>
    <item>
      <title>Kimi K2.5: The Open-Source Model That&apos;s Beating GPT-5.2: And How to Host It</title>
      <link>https://openrelay.inc/blog/kimi-k2-5</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/kimi-k2-5</guid>
      <description>Moonshot AI&apos;s Kimi K2.5 is a 1T parameter open-source model outperforming closed-source giants on key benchmarks. Everything you need to deploy it on your own GPUs.</description>
      <pubDate>Wed, 28 Jan 2026 00:00:00 GMT</pubDate>
      <category>Model Guide</category>
    </item>
    <item>
      <title>Best GPU Cloud for LLM Inference in 2026: Complete Guide</title>
      <link>https://openrelay.inc/blog/best-gpu-cloud-for-llm-inference</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/best-gpu-cloud-for-llm-inference</guid>
      <description>Compare the top GPU cloud providers for LLM inference. Side-by-side analysis of OpenRelay, RunPod, Vast.ai, Lambda, AWS, and GCP for models from 7B to 70B parameters.</description>
      <pubDate>Wed, 28 Jan 2026 00:00:00 GMT</pubDate>
      <category>Guide</category>
    </item>
    <item>
      <title>How to Reduce LLM Inference Costs by 80% in 2026</title>
      <link>https://openrelay.inc/blog/how-to-reduce-inference-costs</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/how-to-reduce-inference-costs</guid>
      <description>Practical strategies to cut your GPU inference bill: from right-sizing GPUs and quantization to distributed inference on consumer hardware.</description>
      <pubDate>Wed, 28 Jan 2026 00:00:00 GMT</pubDate>
      <category>Engineering</category>
    </item>
    <item>
      <title>Distributed GPU Inference Explained: How Overlay Networks Power Fault-Tolerant AI</title>
      <link>https://openrelay.inc/blog/distributed-gpu-inference-explained</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/distributed-gpu-inference-explained</guid>
      <description>How distributed GPU inference works, why overlay networks enable automatic failover, and how OpenRelay built a fault-tolerant inference platform on consumer hardware.</description>
      <pubDate>Wed, 28 Jan 2026 00:00:00 GMT</pubDate>
      <category>Architecture</category>
    </item>
    <item>
      <title>RunPod vs Lambda vs OpenRelay: GPU Cloud Comparison</title>
      <link>https://openrelay.inc/blog/runpod-vs-lambda-vs-vectorlay</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/runpod-vs-lambda-vs-vectorlay</guid>
      <description>Head-to-head comparison of three popular GPU cloud providers for AI inference workloads.</description>
      <pubDate>Thu, 15 Jan 2026 00:00:00 GMT</pubDate>
      <category>Comparison</category>
    </item>
    <item>
      <title>GPU Layers Explained: Optimizing Model Loading</title>
      <link>https://openrelay.inc/blog/gpu-layers-explained</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/gpu-layers-explained</guid>
      <description>Understanding GPU layers and how to optimize model loading for inference performance.</description>
      <pubDate>Sat, 10 Jan 2026 00:00:00 GMT</pubDate>
      <category>Engineering</category>
    </item>
    <item>
      <title>Running Stable Diffusion at Scale</title>
      <link>https://openrelay.inc/blog/stable-diffusion-at-scale</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/stable-diffusion-at-scale</guid>
      <description>How to deploy and scale Stable Diffusion for production image generation workloads.</description>
      <pubDate>Thu, 08 Jan 2026 00:00:00 GMT</pubDate>
      <category>Guide</category>
    </item>
    <item>
      <title>Real-Time AI Inference: Architecture and Best Practices</title>
      <link>https://openrelay.inc/blog/real-time-ai-inference</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/real-time-ai-inference</guid>
      <description>Building low-latency AI inference pipelines for real-time applications.</description>
      <pubDate>Mon, 05 Jan 2026 00:00:00 GMT</pubDate>
      <category>Architecture</category>
    </item>
    <item>
      <title>LLM Inference at Scale: Lessons Learned</title>
      <link>https://openrelay.inc/blog/llm-inference-at-scale</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/llm-inference-at-scale</guid>
      <description>Practical lessons from scaling LLM inference to thousands of concurrent users.</description>
      <pubDate>Sat, 03 Jan 2026 00:00:00 GMT</pubDate>
      <category>Engineering</category>
    </item>
    <item>
      <title>GPU-Accelerated GitHub Actions Runners</title>
      <link>https://openrelay.inc/blog/github-actions-runners</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/github-actions-runners</guid>
      <description>How to set up self-hosted GitHub Actions runners with GPU access for CI/CD pipelines.</description>
      <pubDate>Tue, 30 Dec 2025 00:00:00 GMT</pubDate>
      <category>Guide</category>
    </item>
    <item>
      <title>Deploy Your First Model on OpenRelay</title>
      <link>https://openrelay.inc/blog/deploy-your-first-model</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/deploy-your-first-model</guid>
      <description>Step-by-step guide to deploying your first AI model on OpenRelay&apos;s GPU inference platform.</description>
      <pubDate>Sun, 28 Dec 2025 00:00:00 GMT</pubDate>
      <category>Tutorial</category>
    </item>
    <item>
      <title>How OpenRelay Works: The Big Picture</title>
      <link>https://openrelay.inc/blog/how-vectorlay-works</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/how-vectorlay-works</guid>
      <description>An overview of OpenRelay&apos;s architecture: a distributed GPU overlay network that automatically routes around failures. Part one of a three-part series.</description>
      <pubDate>Fri, 27 Dec 2024 00:00:00 GMT</pubDate>
      <category>Architecture · Part 1</category>
    </item>
    <item>
      <title>Why We Keep Container Deployments Simple (And You Should Too)</title>
      <link>https://openrelay.inc/blog/container-deployment-architecture</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/container-deployment-architecture</guid>
      <description>OpenRelay deliberately chose a simple &apos;one container per cluster&apos; model over complex multi-container orchestration. That&apos;s a feature, not a limitation.</description>
      <pubDate>Fri, 27 Dec 2024 00:00:00 GMT</pubDate>
      <category>Engineering</category>
    </item>
    <item>
      <title>The Agent: Node Software, Heartbeats, and Container Management</title>
      <link>https://openrelay.inc/blog/the-agent</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/the-agent</guid>
      <description>How the agent runs on GPU nodes, manages dependencies, reports health, and executes container deployments with VM-level isolation.</description>
      <pubDate>Fri, 27 Dec 2024 00:00:00 GMT</pubDate>
      <category>Architecture · Part 2</category>
    </item>
    <item>
      <title>Fault Tolerance: Health Checks, Failover, and Self-Healing</title>
      <link>https://openrelay.inc/blog/fault-tolerance</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/fault-tolerance</guid>
      <description>How OpenRelay detects failures, routes around unhealthy nodes, and automatically recovers workloads without manual intervention.</description>
      <pubDate>Fri, 27 Dec 2024 00:00:00 GMT</pubDate>
      <category>Architecture · Part 3</category>
    </item>
    <item>
      <title>How to Make Money from Your Gaming GPU</title>
      <link>https://openrelay.inc/blog/make-money-from-your-gpu</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/make-money-from-your-gpu</guid>
      <description>Turn your idle RTX 4090 or 3090 into a passive income stream. Rent out your GPU for AI inference and earn while you sleep.</description>
      <pubDate>Fri, 27 Dec 2024 00:00:00 GMT</pubDate>
      <category>For GPU Owners</category>
    </item>
    <item>
      <title>GPU Cloud Pricing Comparison 2025: OpenRelay vs AWS vs GCP vs RunPod</title>
      <link>https://openrelay.inc/blog/gpu-cloud-pricing-comparison</link>
      <guid isPermaLink="true">https://openrelay.inc/blog/gpu-cloud-pricing-comparison</guid>
      <description>Side-by-side comparison of GPU cloud pricing for ML inference. See how OpenRelay saves you 50-80% compared to AWS, Google Cloud, and other providers.</description>
      <pubDate>Fri, 27 Dec 2024 00:00:00 GMT</pubDate>
      <category>Pricing Guide</category>
    </item>
  </channel>
</rss>