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    <title>AI for Infrastructure Engineers on Ricardo Martins — Cloud Architecture, Azure, Kubernetes &amp; AI</title>
    <link>https://rmmartins.com/series/ai-for-infrastructure-engineers/</link>
    <description>Recent content in AI for Infrastructure Engineers on Ricardo Martins — Cloud Architecture, Azure, Kubernetes &amp; AI</description>
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      <title>Ricardo Martins — Cloud Architecture, Azure, Kubernetes &amp; AI</title>
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      <title>Visual glossary infra ↔ AI: your Rosetta Stone</title>
      <link>https://rmmartins.com/2026/07/05/visual-glossary-infra-ai-your-rosetta-stone/</link>
      <pubDate>Sun, 05 Jul 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/07/05/visual-glossary-infra-ai-your-rosetta-stone/</guid>
      <description>Every AI term mapped to an infrastructure concept you already know. From &amp;#39;model&amp;#39; to &amp;#39;ZeRO&amp;#39;, with practical analogies and context for when each one shows up in your work.</description>
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    <item>
      <title>AI adoption framework: from enthusiasm to governance</title>
      <link>https://rmmartins.com/2026/07/01/ai-adoption-framework-from-enthusiasm-to-governance/</link>
      <pubDate>Wed, 01 Jul 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/07/01/ai-adoption-framework-from-enthusiasm-to-governance/</guid>
      <description>Enthusiasm without a framework is expensive chaos. The 6 adoption phases, readiness scorecard, anti-patterns that kill AI projects, and how not to become another company with shadow AI.</description>
    </item>
    <item>
      <title>AI use cases for infra teams: AIOps and beyond</title>
      <link>https://rmmartins.com/2026/06/27/ai-use-cases-for-infra-teams-aiops-and-beyond/</link>
      <pubDate>Sat, 27 Jun 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/06/27/ai-use-cases-for-infra-teams-aiops-and-beyond/</guid>
      <description>AI isn&amp;#39;t just for data scientists. Log analysis with LLMs, anomaly detection, predictive capacity planning, IaC generation, and how to use AI to improve your own infra work.</description>
    </item>
    <item>
      <title>Troubleshooting playbook: incidents that will wake you at 2AM</title>
      <link>https://rmmartins.com/2026/06/23/troubleshooting-playbook-incidents-that-will-wake-you-at-2am/</link>
      <pubDate>Tue, 23 Jun 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/06/23/troubleshooting-playbook-incidents-that-will-wake-you-at-2am/</guid>
      <description>NVIDIA driver crash, CUDA OOM, pods stuck in Pending, 429 storm, and latency spikes. Symptoms, diagnosis, root cause, and prevention for each real-world scenario.</description>
    </item>
    <item>
      <title>Azure OpenAI in production: tokens, throughput, and high availability</title>
      <link>https://rmmartins.com/2026/06/19/azure-openai-in-production-tokens-throughput-and-high-availability/</link>
      <pubDate>Fri, 19 Jun 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/06/19/azure-openai-in-production-tokens-throughput-and-high-availability/</guid>
      <description>HTTP 429 isn&amp;#39;t a bug, it&amp;#39;s bad capacity planning. Deployment types, PTU vs Standard, multi-region, retry patterns, and how not to take down your chatbot on launch day.</description>
    </item>
    <item>
      <title>Platform ops: building a self-service AI platform</title>
      <link>https://rmmartins.com/2026/06/15/platform-ops-building-a-self-service-ai-platform/</link>
      <pubDate>Mon, 15 Jun 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/06/15/platform-ops-building-a-self-service-ai-platform/</guid>
      <description>You&amp;#39;ve become the bottleneck. Multi-tenancy, GPU scheduling, Kueue, quotas, priority classes, and how to stop being a help desk and become a platform engineer.</description>
    </item>
    <item>
      <title>Cost engineering for AI: when idle GPUs cost more than your car</title>
      <link>https://rmmartins.com/2026/06/11/cost-engineering-for-ai-when-idle-gpus-cost-more-than-your-car/</link>
      <pubDate>Thu, 11 Jun 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/06/11/cost-engineering-for-ai-when-idle-gpus-cost-more-than-your-car/</guid>
      <description>A GPU idle over the weekend costs $4,700. Spot VMs, PTU vs pay-per-token, right-sizing, tagging, and FinOps to keep the CFO happy without killing innovation.</description>
    </item>
    <item>
      <title>Security for AI: threats your firewall won&#39;t catch</title>
      <link>https://rmmartins.com/2026/06/07/security-for-ai-threats-your-firewall-wont-catch/</link>
      <pubDate>Sun, 07 Jun 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/06/07/security-for-ai-threats-your-firewall-wont-catch/</guid>
      <description>Prompt injection is the SQL injection of the AI world. Managed identities, private endpoints, Key Vault, RBAC, and the defenses you need beyond a traditional WAF.</description>
    </item>
    <item>
      <title>Monitoring and observability for AI: when the green dashboard lies</title>
      <link>https://rmmartins.com/2026/06/03/monitoring-and-observability-for-ai/</link>
      <pubDate>Wed, 03 Jun 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/06/03/monitoring-and-observability-for-ai/</guid>
      <description>Healthy infra doesn&amp;#39;t mean a working model. Model drift, GPU metrics, Azure OpenAI throttling, and the 6 dimensions of observability you need to cover.</description>
    </item>
    <item>
      <title>MLOps: model lifecycle for infra engineers</title>
      <link>https://rmmartins.com/2026/05/30/mlops-model-lifecycle-for-infra-engineers/</link>
      <pubDate>Sat, 30 May 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/05/30/mlops-model-lifecycle-for-infra-engineers/</guid>
      <description>A data scientist sends you model_final_v2_FIXED.pt and says &amp;#39;put it in production&amp;#39;. Sound familiar? MLOps is the same CI/CD you already know, applied to ML models.</description>
    </item>
    <item>
      <title>Infrastructure as Code for AI: automating GPU clusters</title>
      <link>https://rmmartins.com/2026/05/26/infrastructure-as-code-for-ai-automating-gpu-clusters/</link>
      <pubDate>Tue, 26 May 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/05/26/infrastructure-as-code-for-ai-automating-gpu-clusters/</guid>
      <description>A typo in a VM SKU cost $4,000 in three days. IaC isn&amp;#39;t nice-to-have for AI infra. It&amp;#39;s survival. Terraform, Bicep, and CI/CD for GPU clusters.</description>
    </item>
    <item>
      <title>GPU deep dive: what happens inside the silicon</title>
      <link>https://rmmartins.com/2026/05/22/gpu-deep-dive-what-happens-inside-the-silicon/</link>
      <pubDate>Fri, 22 May 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/05/22/gpu-deep-dive-what-happens-inside-the-silicon/</guid>
      <description>Why doesn&amp;#39;t a 14 GB model fit on a 40 GB GPU? How to read nvidia-smi like a pro? Understand GPU architecture, memory hierarchy, multi-GPU strategies, and troubleshooting.</description>
    </item>
    <item>
      <title>Compute for AI: choosing the right hardware (and connecting it properly)</title>
      <link>https://rmmartins.com/2026/05/18/compute-for-ai-choosing-the-right-hardware/</link>
      <pubDate>Mon, 18 May 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/05/18/compute-for-ai-choosing-the-right-hardware/</guid>
      <description>The difference between a two-day training job and a 90-minute one isn&amp;#39;t a faster GPU. It&amp;#39;s knowing which GPU to use and how to connect them. A complete guide to GPU VMs on Azure.</description>
    </item>
    <item>
      <title>Data and storage for AI workloads: the bottleneck nobody sees</title>
      <link>https://rmmartins.com/2026/05/14/data-and-storage-for-ai-workloads/</link>
      <pubDate>Thu, 14 May 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/05/14/data-and-storage-for-ai-workloads/</guid>
      <description>Expensive GPUs sitting idle waiting for slow disk is the #1 problem in AI infrastructure. Learn how to diagnose data starvation, choose the right storage, and build a pipeline that keeps GPUs fed.</description>
    </item>
    <item>
      <title>AI for infrastructure engineers: why AI needs you</title>
      <link>https://rmmartins.com/2026/05/10/ai-for-infrastructure-engineers-why-ai-needs-you/</link>
      <pubDate>Sun, 10 May 2026 10:00:00 -0400</pubDate>
      <guid>https://rmmartins.com/2026/05/10/ai-for-infrastructure-engineers-why-ai-needs-you/</guid>
      <description>You don&amp;#39;t need to become a data scientist to work with AI. Your infrastructure skills already prepare you more than you think for the age of artificial intelligence.</description>
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