Should you rent a cloud GPU or buy one for AI? Rent, unless you'll pass about 2,000 hours

Should you rent a cloud GPU or buy one for AI? For most people, rent. Buying only wins once you'd use the card for thousands of hours. On Nov 3, 2026 an RTX 3090 rented for $0.50 an hour on Runpod's Secure Cloud and a median $0.16 an hour on-demand on Vast.ai. Against a $1,000 card, that's a break-even of about 2,000 hours against Runpod and about 6,200 hours against a typical Vast rental. Pay your own electricity and it moves further out. Buy if you'll run a GPU most days for a year or more, or if your data has to stay on your own machine.

How many hours until buying a GPU pays off?

Divide what you'd pay for the card by what renting the same card costs per hour. That's the whole formula. We use a $1,000 RTX 3090 as the worked example because it's the classic 24 GB card for local AI, but used-card prices move week to week, so put in what you'd really pay. On Nov 12, 2026 GPU Poet's eBay tracker put the lowest average for a used 3090 at $1,543, so at that price every break-even below is about 1.5 times longer. Our used RTX 3090 buying guide explains how to check recently sold listings.

On Nov 3, 2026 renting a 3090 cost $0.50 an hour on Runpod's Secure Cloud, the tier on its public price list. On Vast.ai, a marketplace where hosts set their own prices, our read of 28 single-3090 on-demand offers through Vast's API had a median of $0.16 an hour and a cheapest of $0.09. Interruptible (spot) 3090s started at $0.07.

• $1,000 ÷ $0.50 = 2,000 hours against Runpod
• $1,000 ÷ $0.16 ≈ 6,200 hours against a typical Vast rental

The cheaper the rental, the longer renting stays the better deal. The cheapest Vast listings come with trade-offs, from host reliability to bandwidth charges, and interruptible instances can be stopped when someone outbids you, so the median is the fairer comparison. Today's prices are on our cloud GPU price table, which updates hourly.

What if I buy a 4090 or 5090 instead?

The break-even comes sooner, because those cards rent for more per hour. Since card prices vary so much, here's the break-even per $1,000 of card price; multiply by what your card costs in thousands. A $2,500 card against Runpod's 5090 rate, for example, is 2.5 × 840 ≈ 2,100 hours.

Runpod rates are from its pricing page; Vast medians are from our read of 39 RTX 4090 and 54 RTX 5090 single-GPU on-demand offers the same day. Bigger cards draw more power too, so the electricity correction below matters more for them.

The other question is whether the card can run your model at all. A 24 GB card fits a lot, but not everything; check the model and quantization you want in our VRAM calculator before you price anything. If it doesn't fit on any card you'd buy, renting a bigger GPU is the answer by default.

Does electricity change the answer?

Yes, and it favors renting, because a rented GPU's hourly price already includes power. NVIDIA rates the RTX 3090 at 350 W. The US average home electricity price was 18.16 cents per kWh in August 2026, per the Energy Information Administration's preliminary figures. So a 3090 running flat out costs about $0.06 an hour (0.35 kW × $0.1816). Subtract that from what you'd save each hour:

• Against Runpod: $1,000 ÷ ($0.50 − $0.06) ≈ 2,300 hours
• Against a typical Vast rental: $1,000 ÷ ($0.16 − $0.06) ≈ 10,200 hours

Your own rate matters. In California the August 2026 residential average was 29.75 cents per kWh, which makes a 3090 cost about $0.10 an hour to run, and against a typical Vast rental the break-even stretches to about 17,000 hours ($1,000 ÷ $0.06), nearly two years running around the clock.

How many years is that at my usage?

The break-even is in hours; your decision is in years. Here it is after electricity, for a $1,000 RTX 3090:

Read across your row. If you'd use a GPU a couple of hours in the evening, renting from Vast is cheaper for longer than the card will stay relevant. If you'd run jobs all working day, every day, buying pays off within a year against Runpod. Most hobby use is closer to the first column than people expect.

What costs does the simple division leave out?

• Storage on rented GPUs. Both providers bill storage separately, and both keep billing it when you stop. Runpod's pricing page lists volume disk at $0.10 per GB a month while running and $0.20 while idle. Vast's docs say "Storage charges continue even when instances are stopped" and "Delete instances completely to cease storage billing." Keeping a 100 GB model folder parked on Runpod costs about $20 a month at the idle rate.
• Setup time. Every rented session starts with downloading or mounting your models. Per-second billing, which both Runpod and Vast offer, helps, but short sessions carry that fixed overhead.
• Resale. A card you own is worth something when you sell it, which pulls the break-even in. Nobody can tell you today what a 3090 will fetch in two years, so treat it as a bonus, not part of the math.
• The rest of the computer. A GPU needs a PC with a big enough power supply and room for it. If you don't already have one, add that to the card's price before dividing.
• Interest. If you'd put the card on a credit card, add the interest to its price.

What do I get from owning that renting can't give me?

Owning gives you things no hourly rate captures: your data never leaves your machine (real for privacy-sensitive work), no queue for capacity, it works offline, and there's nothing to spin up. You also stop watching a meter, and people who pay by the minute tend to experiment less.

Renting gives you flexibility: GPUs bigger than you'd ever buy, no maintenance, no upfront cost, and the option to switch cards when a new model needs more VRAM. A listed price isn't a promise of capacity, though; popular cards sometimes aren't available on the day you want them.

The low-risk path is to rent first, learn how many hours you really use, and buy once you're renting most days.

What about AI video, or a whole team?

For AI video, the honest unit is cost per clip you keep, not cost per hour, and renting carries fixed costs that make small batches expensive. That comparison, against apps and per-second APIs, is in AI video cost per clip: app, API or rented GPU.

If you're deciding for a 10 to 50 person company, the math includes admin time, resale and per-token APIs; that version, with a calculator, is the 3-year cost of an AI server for a small company. For what a specific model costs to run by the hour on each GPU, see cost to run.

Rent below the break-even, buy above it, and let privacy and convenience break ties. Compare today's prices on our cloud GPU page, check fit in the VRAM calculator, and read the used-3090 guide if the numbers say buy.