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GPU Sizer
Know which GPU runs your LLM, validated on real hardware
Deterministic VRAM math and a validated throughput model for LLM inference GPU sizing. Pick a model, quant, and context length — get a real number for fit, speed, and cost across 100+ GPUs, validated to 11.3% median error against 19 published benchmarks. Free, no card required.
Hey Product Hunt 👋
I kept getting burned the same way: rent a GPU to try a model, watch it OOM or crawl at half the speed the vendor page implied, and eat the bill anyway. Vendor spec sheets don't tell you if a specific model + quant + context length actually fits and runs fast on a specific card, so most people just guess, or rent-and-pray.
GPU Sizer is the tool I wished existed: deterministic VRAM math, not a rough rule of thumb, plus a throughput model, validated to an 11.3% median error against 19 published third-party benchmarks, out-of-sample, every source linked so you can check it yourself.
Pick a model (83 tracked, or paste any HuggingFace repo), a quant, a context length and concurrency, and it ranks 100+ GPUs by best fit, best value, and max performance, with VRAM, cost, power, and TTFT for every row.
It also goes past "does it fit": Designer lets you co-locate multiple models on a GPU pool, and Factory turns your setup into a P&L — cost per million tokens, break-even vs. the API you'd otherwise pay, margin at your real utilization.
Free forever, no card required. Would genuinely love your feedback, especially if you break it. What's the workload you want to size first?
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About GPU Sizer on Product Hunt
“Know which GPU runs your LLM, validated on real hardware”
GPU Sizer was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #82 on the daily leaderboard. Deterministic VRAM math and a validated throughput model for LLM inference GPU sizing. Pick a model, quant, and context length — get a real number for fit, speed, and cost across 100+ GPUs, validated to 11.3% median error against 19 published benchmarks. Free, no card required.
GPU Sizer was featured in SaaS (44k followers), Developer Tools (518.8k followers) and Artificial Intelligence (477.8k followers) on Product Hunt. Together, these topics include over 256.1k products, making this a competitive space to launch in.
Who hunted GPU Sizer?
GPU Sizer was hunted by Sriram. 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.
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Sriram