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    <title>Alek&#x27;s Blog - awq</title>
    <subtitle>Production notes on Kubernetes, OpenShift, and OVHcloud: observability, log archiving, service mesh, LLM inference, and digital sovereignty.</subtitle>
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    <updated>2026-06-27T00:00:00+00:00</updated>
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        <title>LLM Inference on OVH MKS: Models, AWQ, and OpenAI API</title>
        <published>2026-06-02T00:00:00+00:00</published>
        <updated>2026-06-27T00:00:00+00:00</updated>
        
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              aleks
            
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        <id>https://blog.none.at/blog/2026/2026-06-02-llm-inference-on-ovh-serving/</id>
        
        <summary type="html">&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;blog.none.at&#x2F;blog&#x2F;2026&#x2F;2026-06-02-llm-inference-on-ovh-introduction&#x2F;&quot;&gt;Part 1&lt;&#x2F;a&gt; covered the architecture and use cases.
&lt;a href=&quot;https:&#x2F;&#x2F;blog.none.at&#x2F;blog&#x2F;2026&#x2F;2026-06-02-llm-inference-on-ovh-deployment&#x2F;&quot;&gt;Part 2&lt;&#x2F;a&gt; walked through the Terraform and Ansible setup.
This post covers which models fit on the RTX5000-28’s 16 GB GPU VRAM, why AWQ quantization is required for 7B+ models,
and how to use the OpenAI-compatible endpoint from your own code.&lt;&#x2F;p&gt;</summary>
        
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