<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Kooper AI Engineering</title><description>How we build Kooper AI: serving image models fast, keeping them safe, and running them on infrastructure we operate.</description><link>https://kooper.ai/</link><item><title>A GPU host failed. The fix was a driver version.</title><link>https://kooper.ai/blog/gpu-host-failure-tensorrt-driver/</link><guid isPermaLink="true">https://kooper.ai/blog/gpu-host-failure-tensorrt-driver/</guid><description>After a GPU host fault, our compiled TensorRT engines refused to load: the failure you get when a host&apos;s NVIDIA driver branch differs from the one the engines were built on. We recovered by starting a new pod on a host with the right branch (580, CUDA 13), which took a little over an hour because those GPUs were briefly out of stock. The lesson: a TensorRT engine is tied to its driver branch, so version the two together.</description><pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate><category>incident</category><category>TensorRT</category><category>NVIDIA drivers</category><category>GPU inference</category></item></channel></rss>