GPU prices / H100-80GB

NVIDIA H100 80 GB
H100-80GB costs $1.79 to $5.50 per GPU-hour on demand across 21 cloud providers, cheapest at Lium. Prices were read from each provider's own pricing page, most recently on 2026-10-27.
Cheapest read 27 Oct · spread 3.1× · a missing provider is never an estimate
CHEAPEST $1.79/hrMEDIAN $3.25/hrSPREAD 3.1×PROVIDERS 21
Price by provider — cheapest first
Provider$/GPU·hr ↓Δ 7dTermsRead
Why a provider might be missing: its price is behind a quote form, older than 21 days, or flagged for review. A missing row is never an estimate.
Price history — cheapest daily reading
⚑ 7 of 12 weeks measuredWEEKLY LOW SHOWN
2026-08-04A FLAT MARK IS A WEEK WE DID NOT READ2026-10-20
Cost calculator
GPUs1×
Hours / month730 h
730 = 24/7 · on-demand rates only
Lium$1,310 /mo
HyperAI$1,314 /mo
Sesterce$1,336 /mo
TensorDock$1,643 /mo
Hyperstack$1,825 /mo
Koyeb$1,825 /mo
Spheron$1,927 /mo
Massed Compute$1,993 /mo
DeepInfra$2,117 /mo
Civo$2,183 /mo
Canopy Wave$2,373 /mo
Cerebrium$2,482 /mo
Beam$2,555 /mo
Oblivus$2,657 /mo
Runcrate$2,818 /mo
Enverge$2,920 /mo
DigitalOcean$3,219 /mo
Fal.ai$3,285 /mo
Lyceum$3,424 /mo
Replicate$4,008 /mo
Crusoe$4,015 /mo
Spec sheet
3 of 8 figures held
Good for
○ Nobody has told us what this card is good for, and we run no benchmarks of our own. A claim here would be the most quotable sentence on the page and the least sourced. Tell us what you run on it →
Benchmarks
○ Nobody has submitted this card to MLPerf, and we run no benchmarks of our own. Every submission we hold →
LLMs that fit this GPU’s VRAM
○ We cannot say what fits
Working out what fits needs a parameter count per model, and no seller publishes one in the price feeds we read. A number here would be our estimate wearing a spec sheet’s clothes. Every model we price →
Frequently asked
How much does an H100-80GB cost per hour right now?
$1.79 an hour at Lium, the cheapest of 21 sellers we read. The dearest posts $5.50 at Crusoe. Every rate links to the page it was read from, with the date it was read.
Why do H100-80GB prices vary 3.1× between providers?
Because a GPU-hour is not one product. $1.79 at Lium and $5.50 at Crusoe buy different things: interconnect, host CPU and RAM, storage, egress, support, and whether the capacity is dedicated or shared. We publish the posted rate for each and the page it came from, and do not blend them into one number.
What is the cheapest way to rent an H100-80GB long-term?
We hold no committed or reserved rate for this card — every figure here is an on-demand posted rate. Committed pricing is usually quoted rather than published, so the honest answer is that we cannot tell you, rather than a guess at a discount.
How fresh are these prices?
These rates were read between 2026-10-07 and 2026-10-27. Nothing older than 21 days is shown: a reading that goes stale is hidden rather than displayed with an old date, because a wrong price is worse than a missing one. Each row links to the page its figure came from, so any of them can be checked against the seller.
Which is cheaper for an H100-80GB — a region or a commitment?
Both move the number and they move it independently. Where a provider prices the same card in several regions we show the cheapest they charge anywhere and name the region, because a rate you can only get in Estonia is still a rate you can get. A committed term is a different contract rather than a discount on this one, so committed rates are kept out of the headline and shown separately.
Can a provider pay to be listed first for the H100-80GB?
No. The table has one stated sort at a time and nothing in it can be bought — a sponsor cannot enter it, reorder a row or change a rate. How the site is paid for, and the line each source of money does not cross, is set out under money and independence at /our-data#sec5.
Vs its class
Live cheapest ratesGPUCheapest $/hrVRAMFP8 TFLOPS
Cite this page
infratoapp, “H100-80GB cloud pricing”, read 27 October 2026. $1.79 per GPU-hour at Lium. https://www.infratoapp.com/gpu/H100-80GB
Reading date travels inside the citation. How we read this data →