Most hosts price and buy hardware based on one marketplace: the one they happen to list on. GPU IQ widens the view. It tracks pricing, supply, demand, and 24-hour utilization for GPU types across six platforms, so decisions like "should I buy another card" or "is my price sane" rest on cross-market data instead of a single order book.
What GPU IQ tracks, and where
GPU IQ pulls market data from six GPU marketplaces: Vast.ai, RunPod, OctaSpace, QuickPod, Nosana, and FluxEdge. External platform data is polled every 15 minutes, so the picture stays close to live without you refreshing anything. For each GPU type you get:
- Pricing. What the card trades at on each platform, so you can compare markets on equal terms.
- Supply versus demand. How many machines are offered against how many are actually taken, per platform. A high rented percentage means strong demand; a long tail of unsold listings means oversupply.
- 24-hour utilization. What percentage of the last 24 hours your GPU type spent rented versus idle. This is the single most honest number in GPU hosting, because it measures outcomes rather than asking prices.
Beta status
Why utilization beats listing price as a signal
Listing prices are wishes. A platform can be full of RTX 4090s listed at $0.60 that nobody rents, and a naive comparison would call that the "best" market. Utilization tells you what actually happened: if 4090s on one platform were rented 78% of the last 24 hours and 31% on another, the first market is where the demand lives, almost regardless of the sticker prices.
This is the same philosophy behind GPU Autopilot's pricing agent, which prices from rented offers rather than unsold listings. The reasoning is laid out in the guide on asking price versus rented price. GPU IQ applies that idea one level up: not "what should this machine charge" but "which markets clear, and at what rate".
Scenario: should you buy a second RTX 4090?
Say you host one RTX 4090 machine and you are weighing a second card, roughly a $1,800 decision. The question that decides payback time is not the listing price you hope for, it is how many hours a 4090 actually rents. Here is how to answer it with GPU IQ:
- 1Open GPU IQ and look up the RTX 4090 across all six platforms. Note the 24-hour utilization on each.
- 2Check supply versus demand on your home platform. If Vast.ai shows a high rented percentage and thin idle supply, new capacity is likely to get absorbed. If half the listed 4090s are sitting idle, your new card joins a queue.
- 3Sanity-check the price. Multiply a realistic rented price by a realistic utilization, not 100%, and run the payback math. A 4090 rented 70% of the time at $0.35 per hour grosses about $176 a month; at 35% utilization the same card grosses about $88 and the payback period doubles.
- 4Recheck a week later. One snapshot can catch an unusual day; two or three spaced readings show whether demand is a trend or a blip.
The same routine works in reverse when choosing which card to buy in the first place. If a card you are considering shows weak utilization everywhere, no pricing strategy will rescue it. The hardware side of that decision is covered in the best GPUs for hosting in 2026.
Using GPU IQ to sanity-check your own pricing
Cross-platform data also answers a quieter question: is my machine underperforming because of my price, or because of the market? Two patterns are worth recognizing:
- Your utilization is low, market utilization is high. The demand exists and other hosts are capturing it. Look at your price position, your floor, and your machine's specs (bandwidth and reliability matter to renters too). This is a fixable problem.
- Your utilization is low, market utilization is low. The whole market for that card is soft. Cutting your price further mostly donates margin; the better levers are patience, interruptible pricing to catch spot demand, or redeploying effort to a card type with stronger numbers.
Without cross-platform data these two situations look identical from inside your dashboard, and hosts routinely respond to the second one with price cuts that cannot help.
From market intelligence to market action
GPU IQ tells you where demand is and how your card class performs across the industry. Turning that into revenue still happens one listing at a time: a floor built on your real costs, an offset that wins the sort order without bleeding, and repricing every few minutes as the market moves. When you are ready to connect the intelligence to the action, the guide on the market clearing price explains the number the pricing agent steers by.