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      <title>How We Solved Multi-Model Inference Without Losing Sleep</title>
      <dc:creator>OneInfer.ai</dc:creator>
      <pubDate>Mon, 10 Nov 2025 06:57:46 +0000</pubDate>
      <link>https://dev.to/oneinfer/how-we-solved-multi-model-inference-without-losing-sleep-8ie</link>
      <guid>https://dev.to/oneinfer/how-we-solved-multi-model-inference-without-losing-sleep-8ie</guid>
      <description>&lt;p&gt;We built &lt;a href="https://oneinfer.ai/" rel="noopener noreferrer"&gt;oneinfer.ai&lt;/a&gt; after one too many late nights fighting cost overruns and messy API rewrites.&lt;br&gt;
Every dev working with LLMs knows this pain — switching providers means new SDKs, new payloads, and weeks of lost progress.&lt;/p&gt;

&lt;p&gt;So we built a Unified Inference Layer: a single API that talks to Open AI, Anthropic, Deep Seek, and open-source models — no code rewrites required. Add a GPU Marketplace, token-level cost tracking, and serverless scaling, and suddenly AI deployment feels like cloud done right.&lt;/p&gt;

&lt;p&gt;Think of it as the Docker layer for inference — deploy anywhere, scale everywhere, pay smarter.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fegjjklpi0ih5cxuiwk38.jpeg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fegjjklpi0ih5cxuiwk38.jpeg" alt=" " width="800" height="800"&gt;&lt;/a&gt;Beta access → oneinfer.ai&lt;/p&gt;

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      <category>ai</category>
      <category>cloud</category>
      <category>opensource</category>
      <category>gpu</category>
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