See the GPU any model needs, right on Hugging Face.
Compare 24+ GPU clouds in one place.
3 ways to use it today.
▲ AI DEV SIGNALS
by Marktechpost · Special issue · November 11, 2026
Hi there,
No roundup today. This issue covers 1 launch from our own team, in two parts.
GPULeaderboard Deploy It is a free Chrome extension. It shows the hardware a model needs on the page where you find it. GPU Leaderboard is the free web application behind it, comparing GPU clouds for inference.
01 · Stop guessing what a model needs
How it works: Open any model on Hugging Face and click the Deploy It badge. A panel slides in with the model's size, context length and the VRAM it needs at FP16, FP8 or 4-bit. Below that are the GPUs that fit it, each with its best provider.
Where it works: Hugging Face model pages, GitHub repos and your browser toolbar. On GitHub, it matches the model behind a repo and estimates the hardware in place. From the toolbar, you can look up any model or GPU without leaving the page.
The best part: 1 click on "Price a full run" opens GPU Leaderboard with the model and GPU already filled in. You go from "can I run this?" to a priced plan in seconds.
Our take: Out-of-memory errors are the most expensive way to learn a model's hardware needs. This moves that answer to before you rent.
02 · One place to compare GPU clouds
Pick a GPU, how many, for how long, and how busy it will be. The calculator prices that exact run at every provider it tracks. For the same job, the gap between providers can reach 73%.
The Leaderboard covers 24+ providers and 37 GPUs. Filter by GPU, region and industry, and sort by price, value, compute or price stability.
Every price is read from the provider's own pricing page, refreshed daily and linked to its source. The provider directory adds regions and status-page history.
03 · Signals: 3 ways to use it today
Before you download a model, check its VRAM at each precision on Hugging Face.
Before you rent a GPU, price the full run at your real utilization.
Before you pick a provider, filter the Leaderboard to the GPU you need.
1 question
What would make GPULeaderboard more useful on the pages where you pick models? Hit reply. We read every answer, and the next features come from them.
Have a great Wednesday.
until next week,
the marktechpost team
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