The latest articles on DEV Community by T Obias (@t_obias_12538a44ba441aacc). https://dev.to/t_obias_12538a44ba441aacc https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3766614%2F776d70d0-ed21-48ea-a12a-60e08591a0d4.jpg https://dev.to/t_obias_12538a44ba441aacc en T Obias Wed, 11 Feb 2026 15:03:45 +0000 https://dev.to/t_obias_12538a44ba441aacc/i-got-tired-of-googling-can-my-gpu-run-this-llm-so-i-built-this-208j https://dev.to/t_obias_12538a44ba441aacc/i-got-tired-of-googling-can-my-gpu-run-this-llm-so-i-built-this-208j <p>Free tool that instantly tells you if your GPU can run DeepSeek, Llama 3, Mistral, and 50+ other AI models. No more guessing.</p> <h2> tags: ai, tools, productivity, beginners </h2> <h1> I Got Tired of Googling "Can My GPU Run This LLM?" So I Built This </h1> <h2> The Problem </h2> <p>You want to run LLMs locally (DeepSeek, Llama 3, Mistral, whatever).</p> <p>You Google: <strong>"Can RTX 3060 run Llama 3?"</strong></p> <p>You get:</p> <ul> <li>10 Reddit threads with different answers</li> <li>Someone says "yeah probably"</li> <li>Someone else says "no way"</li> <li>A YouTube video from 2023</li> </ul> <p>You download 40GB anyway.</p> <p><strong>It doesn't fit.</strong> 😤</p> <h2> The Solution </h2> <p>I built a simple tool that gives you the answer in <strong>5 seconds</strong>.</p> <p>👉 <strong>[<a href="https://dev.tourl">canirunllms.com</a>](<a href="https://canirunllms.com" rel="noopener noreferrer">https://canirunllms.com</a>)</strong> 👈</p> <p><strong>How it works:</strong></p> <ol> <li>Pick your GPU</li> <li>See which models work (green = yes, red = no)</li> <li>Done.</li> </ol> <p>That's it.</p> <h2> Why I Built This </h2> <p>I was buying a GPU for AI stuff and had no idea what I needed.</p> <p><strong>Questions I couldn't answer:</strong></p> <ul> <li>Will my RTX 3060 run Llama 3?</li> <li>Do I need 16GB or 24GB VRAM?</li> <li>Can my MacBook run local LLMs?</li> <li>What about DeepSeek-R1?</li> </ul> <p>Every answer I found online was <strong>"it depends"</strong> or <strong>"maybe"</strong>.</p> <p>So I built a database of every GPU and every popular LLM, and made it searchable.</p> <h2> What Makes This Different </h2> <p><strong>Other tools:</strong></p> <ul> <li>Require you to understand "quantization levels"</li> <li>Show you complicated formulas</li> <li>Don't include Apple Silicon</li> <li>Haven't been updated since 2023</li> </ul> <p><strong>This tool:</strong></p> <ul> <li>✅ Just shows you: YES or NO</li> <li>✅ Covers 50+ models (DeepSeek, Llama, Mistral, Mixtral, Gemma, etc.)</li> <li>✅ Includes MacBook Pro, Mac Studio, RTX 3060, 4090, AMD, Intel—everything</li> <li>✅ Updated February 2026</li> <li>✅ 100% free, no signup</li> </ul> <h2> Examples (Try These) </h2> <p><strong>"Can RTX 3060 run DeepSeek-R1 8B?"</strong><br> 👉 <a href="https://canirunllms.com/gpu/nvidia-rtx-3060" rel="noopener noreferrer">Click here</a><br> Answer: <strong>Yes</strong> (4-bit quantized)</p> <p><strong>"Can RTX 4090 run Mixtral 8x7B?"</strong><br> 👉 <a href="https://canirunllms.com/gpu/nvidia-rtx-4090-24gb" rel="noopener noreferrer">Click here</a><br> Answer: <strong>No</strong> (needs 90GB VRAM)</p> <p><strong>"RTX 4090 vs RTX 3060 – which is better for LLMs?"</strong><br> 👉 <a href="https://canirunllms.com/compare/nvidia-rtx-4090-24gb-vs-nvidia-rtx-3060" rel="noopener noreferrer">Compare them</a></p> <h2> Who This Is For </h2> <p><strong>You should use this if:</strong></p> <ul> <li>🛒 You're buying a GPU and want to know what you can run</li> <li>💻 You already have a GPU and want to know which models fit</li> <li>🍎 You have a Mac and everyone online only talks about NVIDIA</li> <li>🤔 You're tired of Googling and getting vague answers</li> </ul> <h2> Real Use Cases </h2> <h3> Before buying a GPU: </h3> <blockquote> <p>"I'm choosing between RTX 4070 and RTX 4090. Let me check which models each one can run..."</p> </blockquote> <h3> Before downloading a 40GB model: </h3> <blockquote> <p>"Wait, will Llama 3 70B even fit on my GPU? Let me check first..."</p> </blockquote> <h3> When someone asks you "what GPU do I need?": </h3> <blockquote> <p>"Just go to canirunllms.com and type in your model. Done."</p> </blockquote> <h2> The Best Part: It's Free </h2> <p>No signup. No email. No credit card.</p> <p>Just a tool that answers one question:</p> <blockquote> <p><strong>"Can my GPU run this LLM?"</strong></p> </blockquote> <p>Try it: 👉 <strong><a href="https://canirunllms.com" rel="noopener noreferrer">canirunllms.com</a></strong> 👈</p> <h2> I'd Love Your Feedback </h2> <p>Since you're here, I have 3 quick questions:</p> <ol> <li><p><strong>Did you ever download an LLM that didn't fit on your GPU?</strong> (I did this 3 times before building this tool 😅)</p></li> <li><p><strong>What GPU do you use?</strong> (Curious what the Dev.to crowd runs)</p></li> <li><p><strong>Missing anything?</strong> (GPUs, models, features?)</p></li> </ol> <p>Drop a comment! 👇</p> <h2> Quick Links </h2> <ul> <li>🏠 <strong>Main tool:</strong> <a href="https://canirunllms.com" rel="noopener noreferrer">canirunllms.com</a> </li> <li>📊 <strong>GPU comparison:</strong> <a href="https://canirunllms.com/compare/nvidia-rtx-4090-24gb-vs-nvidia-rtx-3060" rel="noopener noreferrer">Compare any 2 GPUs</a> </li> <li>📖 <strong>VRAM guide:</strong> <a href="https://canirunllms.com/guide/vram-requirements" rel="noopener noreferrer">How VRAM actually works</a> </li> <li>ℹ️ <strong>About:</strong> <a href="https://canirunllms.com/about" rel="noopener noreferrer">How I verify the data</a> </li> </ul> <p><strong>P.S.</strong> If this saved you from buying the wrong GPU or downloading a model that doesn't fit, share it with someone who needs it. 🙏</p> <p>---<a href="https://dev.tourl"></a></p> <h2> Comments? Questions? Roasts? </h2> <p>Let me know below! 👇</p> <p>(And yes, I know the design is simple. That's on purpose. Just wanted something fast that works.)</p> llm canirunllms