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Smeltcore
Which AI models actually run on your GPU
Honest benchmarks for running open-weights AI models on your own GPU. 84 models × 27 consumer GPUs — from RTX 3060 to Apple Silicon — each pair gets an honest verdict: runs, tight fit, or won't fit, with real speed and VRAM numbers. Plus 800+ step-by-step install recipes (llama.cpp, Ollama, ComfyUI, MLX) and a GPU Advisor. No invented numbers, no signup, free under CC BY-SA.
Hi Product Hunt 👋
Every time I wanted to run a new open model locally I hit the same wall: "will this actually fit on my GPU?" The real numbers were out there — but scattered across Reddit threads, blog posts and GitHub issues, half of them untested. Mostly you'd just get vendor marketing, guesses, or "just buy a 4090."
So I built Smeltcore: those numbers pulled into one place, each linked to its source and sanity-checked.
Pick your GPU (RTX 3060 → 4090, or Apple Silicon) and see every model it can run — with real speed and peak-VRAM numbers and a plain verdict: runs, tight fit, or won't fit. 84 models, 27 GPUs, 800+ step-by-step install recipes for llama.cpp, Ollama, ComfyUI and MLX. Free, no signup, CC BY-SA.
No invented numbers. Every benchmark links to its source, "doesn't fit" is a first-class answer, and community submissions go through a review gate.
It started as a spreadsheet for myself and turned into this. Would love your feedback — especially which model × GPU pairs you're missing. And if you've benchmarked something, there's a /contribute form 🙏
About Smeltcore on Product Hunt
“Which AI models actually run on your GPU”
Smeltcore was submitted on Product Hunt and earned 6 upvotes and 5 comments, placing #160 on the daily leaderboard. Honest benchmarks for running open-weights AI models on your own GPU. 84 models × 27 consumer GPUs — from RTX 3060 to Apple Silicon — each pair gets an honest verdict: runs, tight fit, or won't fit, with real speed and VRAM numbers. Plus 800+ step-by-step install recipes (llama.cpp, Ollama, ComfyUI, MLX) and a GPU Advisor. No invented numbers, no signup, free under CC BY-SA.
On the analytics side, Smeltcore competes within Developer Tools and Artificial Intelligence — topics that collectively have 990.5k followers on Product Hunt. The dashboard above tracks how Smeltcore performed against the three products that launched closest to it on the same day.
Who hunted Smeltcore?
Smeltcore was hunted by Vadim Leavitskiy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Smeltcore including community comment highlights and product details, visit the product overview.
Vadim Leavitskiy