GH200 GPU Rental Prices & Live Availability
As of , the cheapest single GH200 confirmed in stock is $2.29 per GPU-hour on Lambda. GPU Finder compares 2 providers for this size and refreshes availability hourly. Methodology.
Structured offer basis: 2 current 1× GH200 listings range from $2.29 to $2.29 USD per physical GPU-hour. Whole-node prices for other GPU counts are not mixed into this range.
Cheapest single GH200 rental
verifiedCheapest GH200 confirmed in stock right now
In stock- Is now a good time to rent an GH200 cloud GPU?
- ▲ near its 6-month high — The 1× GH200 on-demand floor is $2.29/hr ($2.29/GPU-hr) — 6-month range $1.99–$2.29/hr for 1× nodes. In short, prices are near their 6-month high, so it may pay to wait or lock in a spot rate.
- What is the cheapest GH200 cloud GPU available right now?
- Cheapest GH200 confirmed in stock right now: $2.29/GPU-hr on Lambda (1× listing, $2.29/hr).
Prices are the cheapest listed on-demand rates; “in stock” means the provider reported capacity on our last hourly check. How we compute this →
GH200 rental prices by provider
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GH200 (1× GPU) availability — last 7 days
No provider held 1× GH200 ≥80% available across all 7 days. Polled hourly · 3 providers tracked · 7-day window.
| Provider | Fri11 | Sat12 | Sun13 | Mon14 | Tue15 | Wed16 | Thu17 | Week |
|---|---|---|---|---|---|---|---|---|
| Shadeform | 25% | |||||||
| Lambda | 12% | |||||||
| Vultr | 0% |
30-day reliability depth
GPU Finder does not treat availability as a static yes/no flag. For GH200, current stock badges are paired with a 30-day reliability score based on our hourly stock checks — the share of tracked time each listing was reported available. How we compute this →
- 3
- listings with a 30-day score
- 100%
- of listings on this page have a score
- 30d
- longest stock history on this page
Strongest reliability signals here: Shadeform (42%, 30d covered), Lambda (21%, 30d covered), Vultr (0%, 30d covered).
Caveat: scores stay hidden until a listing has at least 48 tracked hours, and some provider APIs expose coarse capacity levels instead of exact stock counts. Use the score as historical depth beside current availability, not as a guarantee that a GPU will still be allocatable when you click through.