FastGPU Web App Overview

FastGPU is a live price comparison for cloud GPUs. It tracks what H100, H200, B200, A100, RTX 4090, MI300X and other GPUs rent for across marketplaces, neoclouds and hyperscalers, cheapest first, and tells you which GPU setup can run your AI job. Instead of opening a dozen provider dashboards, you see current public rental prices side by side in one place, so you can pick the cheapest option that fits your model size, memory needs and timeline.

Many AI teams lose time and money on GPU procurement. Prices move between providers, availability changes by region, and the cheapest listing is often not the one that fits the workload. FastGPU puts the numbers in one view and keeps them current, so you can compare before you commit.

For larger orders, describe the cluster once and capacity holders quote on it. Every quote is shown next to the live public price, so you can judge whether an offer is actually competitive instead of relying on a sales call. Buyers use it free.

Coverage includes GPU marketplaces, neocloud providers and the major hyperscalers, with dozens of clouds tracked. Results are sorted cheapest first, and each GPU model is listed with its rental rate so differences are easy to spot at a glance.

Sizing helps too. Tell FastGPU about an AI job, such as fine-tuning a model, serving inference or running batch embeddings, and it suggests which GPU setup can handle the job, including how many GPUs you need and roughly how much memory each one must provide. This avoids paying for hardware you do not need and avoids jobs that run out of memory halfway through.

For developers and AI agents, FastGPU offers a free REST API with documentation, an OpenAPI description, and a remote MCP server that lets agents query live GPU prices and sizing directly from their tools. That makes it easy to build cost-aware workflows, such as choosing the cheapest GPU before launching a training run or alerting when a price drops below a target.

FastGPU is free for buyers. Paid data plans are available for teams that need higher request volumes or extended history; the free tier covers the core comparison and sizing features. The company was founded in 2026 and operates remotely from the United States.

Good fits include ML engineers planning training budgets, founders estimating infrastructure costs, researchers looking for affordable compute, and platform teams that want to automate GPU procurement. If you rent GPUs by the hour, FastGPU helps you see where your money goes and where it can go further.