The latest articles on DEV Community by AskGPU (@askgpu). https://dev.to/askgpu https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4204865%2Fd0f5cb1f-276c-4c88-b15b-224261321bfd.png https://dev.to/askgpu en AskGPU Sat, 24 Oct 2026 14:18:49 +0000 https://dev.to/askgpu/how-to-compare-cloud-gpu-prices-without-getting-misled-4l64 https://dev.to/askgpu/how-to-compare-cloud-gpu-prices-without-getting-misled-4l64 <p>When you shop for cloud GPUs, the headline number is rarely the whole story. Here is the checklist I use to avoid being misled.</p> <h2> 1. Start with the provider's own pricing page </h2> <p>Aggregators and blog posts go stale fast. Read the price on the provider's official pricing page, and keep the link.</p> <h2> 2. Compare per-hour price by GPU model and VRAM </h2> <p>"One GPU" can mean very different hardware. Compare like for like: the same model (for example an A100 vs. an H100) and the same VRAM size (40 GB vs. 80 GB), then look at price per hour.</p> <h2> 3. Watch for storage and egress fees </h2> <p>Persistent disks, snapshots and outbound data transfer can add a surprising amount to the bill, especially for large datasets and model checkpoints. Check whether they are included.</p> <h2> 4. Separate spot from on-demand pricing </h2> <p>Spot or preemptible instances can be much cheaper, but they can be interrupted. Record which type each price refers to, and never mix them in one comparison.</p> <h2> 5. Date your comparison </h2> <p>GPU prices change often. Write down the date you checked each price so readers (and future you) know how fresh it is.</p> <p>I keep a dated, source-checked comparison at <a href="https://askgpu.com" rel="noopener noreferrer">AskGPU</a>.</p> gpu ai cloud machinelearning