<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>gpu — FixDevs</title><description>Latest fixes and solutions for gpu errors on FixDevs.</description><link>https://fixdevs.com/</link><language>en</language><lastBuildDate>Thu, 09 Apr 2026 00:00:00 GMT</lastBuildDate><atom:link href="https://fixdevs.com/tags/gpu/rss.xml" rel="self" type="application/rss+xml"/><item><title>Fix: TensorFlow Not Working — OOM, Shape Mismatch, GPU Not Found, and Keras Errors</title><link>https://fixdevs.com/blog/tensorflow-not-working/</link><guid isPermaLink="true">https://fixdevs.com/blog/tensorflow-not-working/</guid><description>How to fix TensorFlow errors — GPU not detected CUDA library missing, ResourceExhaustedError OOM, InvalidArgumentError shape mismatch, NaN loss, @tf.function AutoGraph failures, and Keras 3 breaking changes in TF 2.16+.</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate><category>python</category><category>tensorflow</category><category>keras</category><category>machine-learning</category><category>deep-learning</category><category>gpu</category><category>debugging</category><author>FixDevs</author></item><item><title>Fix: Ollama Not Working — Connection Refused, Model Not Found, GPU Not Detected</title><link>https://fixdevs.com/blog/ollama-not-working/</link><guid isPermaLink="true">https://fixdevs.com/blog/ollama-not-working/</guid><description>How to fix Ollama errors — connection refused when the daemon isn&apos;t running, model not found, GPU not detected falling back to CPU, port 11434 already in use, VRAM exhausted, and API access from other machines.</description><pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate><category>ollama</category><category>llm</category><category>ai</category><category>gpu</category><category>debugging</category><author>FixDevs</author></item><item><title>Fix: PyTorch Not Working — CUDA Out of Memory, Device Mismatch, and NaN Loss</title><link>https://fixdevs.com/blog/pytorch-not-working/</link><guid isPermaLink="true">https://fixdevs.com/blog/pytorch-not-working/</guid><description>How to fix PyTorch errors — CUDA out of memory, expected all tensors on same device, CUDA device-side assert triggered, torch.cuda.is_available() False, inplace gradient errors, DataLoader Windows crash, dtype mismatch, and NaN loss.</description><pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate><category>python</category><category>pytorch</category><category>cuda</category><category>gpu</category><category>debugging</category><author>FixDevs</author></item></channel></rss>