Reserved vs On-Demand Calculator
Find the break-even between paying on demand and committing to reserved capacity.
Provider profile
Lambda: AI GPU cloud profile
Lambda is a developer-focused GPU cloud that rents NVIDIA instances on demand and by reservation. It is popular with researchers and small teams for its self-serve simplicity.
Lambda is one of the developer gpu clouds ComputeTape links to a public price page. This profile summarizes what is verified, the on-demand list rate we track, and where it fits — each figure tied to the public source.
H100, B200 On DemandTracked offerings
The configurations ComputeTape observes on the public price page.
What this is
What Lambda is
Lambda is a developer-focused GPU cloud that rents NVIDIA instances on demand and by reservation. It is popular with researchers and small teams for its self-serve simplicity.
- A developer GPU cloud with self-serve on-demand and reserved instances.
- Oriented to single-node and small multi-node setups more than very large training fabrics.
Tracked offerings
The offerings ComputeTape tracks
ComputeTape tracks the public on-demand configurations published on the provider price page — one row per GPU. The list rate is the published on-demand price observed there. It is a starting point, not a quote; negotiated, committed, and reserved terms differ.
| Service | GPU | Mode | Region | On-demand list rate | Availability | No change in | Last checked | Confidence | Source |
|---|---|---|---|---|---|---|---|---|---|
| Instances | H100 | On Demand | Multi-region | $4.29 / GPU-hr | Listed as available | 47 days | Jul 14, 2026 | High | Lambda pricing page |
| Instances | B200 | On Demand | Multi-region | $6.99 / GPU-hr | Listed as available | 32 days | Jul 14, 2026 | High | Lambda pricing page |
List rate is the public on-demand price, not a quote. Confirm the live figure on the source page before budgeting.
Where it fits
How ComputeTape reads this provider against the rest of the directory.
- Developers and researchers who want to launch a GPU instance quickly without a sales process.
- Workloads that fit one node or a small cluster.
Best-fit notes are ComputeTape interpretation, not provider guarantees.
Watch-outs
Things to confirm for your own workload before you commit.
- Popular on-demand instance types can sell out; capacity is not guaranteed.
- Networking for very large clusters is less specialized than clouds built around big training fabrics.
Committed capacity
On-demand vs committed capacity
ComputeTape tracks the public on-demand H100 rate. Reserved terms are published and quoted by the provider and are not reflected in the list price above.
On-demand vs reserved vs spot GPU pricing
Compare access terms, savings, and interruption risk.
Sources and checks
This profile renders only while the underlying row stays reviewed for display and within the 30-day recheck window. If a recheck lapses, the row and this profile drop from the directory until it is reviewed again.
Lambda public price page
The provider-published page the tracked rate is read from.
Evidence labels reference
The rights, freshness, and confidence labels applied to every row, defined and explained.
- Last checked: Jul 14, 2026.
- No change in: 47 days (how long the current H100 list price has held in our records).
- Source confidence: High.
- Rights: links a public price page on the provider site.