<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Cloud Ninjas GPU ITAD Blog</title><description>Latest technology posts from Cloud Ninjas GPU ITAD</description><link>https://gpu-itad-preview.netlify.app/</link><item><title>How Much VRAM is Needed for AI? Sizing GPUs for LLM Workloads</title><link>https://gpu-itad-preview.netlify.app/posts/how-much-vram-is-needed-for-ai-llm/</link><guid isPermaLink="true">https://gpu-itad-preview.netlify.app/posts/how-much-vram-is-needed-for-ai-llm/</guid><description>Learn how to properly size GPU VRAM for AI and LLM workloads. Understand model weights, quantization, and memory needs for inference, training and fine-tuning of AI Models. Understand trade-offs with certain techniques.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate></item><item><title>Comparing The NVIDIA A100 80GB &amp; H100 80GB PCIe GPUs</title><link>https://gpu-itad-preview.netlify.app/posts/nvidia-h100-80gb-vs-a100-80gb-gpus/</link><guid isPermaLink="true">https://gpu-itad-preview.netlify.app/posts/nvidia-h100-80gb-vs-a100-80gb-gpus/</guid><description>As demand for AI and machine learning increases, more and more companies starting their AI infrastructure start considering GPUs of older generations, and the H100 and A100 are the main choices, so lets compare them.</description><pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate></item><item><title>PCIe GPUs vs. Baseboard GPUs: Understanding the Differences</title><link>https://gpu-itad-preview.netlify.app/posts/pcie-gpus-vs-baseboard-gpus/</link><guid isPermaLink="true">https://gpu-itad-preview.netlify.app/posts/pcie-gpus-vs-baseboard-gpus/</guid><description>As Artificial Intelligence, deep learning, machine learning and large scale GPU computing continue to expand, one of the most common questions companies and individuals face is: Should we deploy PCIe or SXM Baseboard GPUs?</description><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate></item></channel></rss>