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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.

Developer GPU cloudsSegment

How ComputeTape classifies this provider.

H100 On DemandTracked offering

The configuration 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 offering

The offering ComputeTape tracks

ComputeTape tracks one public on-demand configuration per provider. The list rate is the published on-demand price observed on the provider price page. It is a starting point, not a quote; negotiated, committed, and reserved terms differ.

ServiceGPUModeRegionOn-demand list rateAvailabilityObservedLast checkedSource
InstancesH100On DemandMulti-region$4.29 / GPU-hrListed as availableMay 30, 2026May 28, 2026https://lambda.ai/pricing

List rate is the public on-demand price, not a quote. Confirm the live figure on the source page before budgeting.

Where it fits

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

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.

Reserved vs On-Demand Calculator

Find the break-even between paying on demand and committing to reserved capacity.

On-demand vs reserved vs spot GPU pricing

Compare access terms, savings, and interruption risk.

Sources and checks

Sources and checks

This profile renders only while the underlying row stays approved 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.

Evidence labels reference

The rights, freshness, and confidence labels applied to every row, defined and explained.

  • Last checked: May 28, 2026.
  • Price observed: May 30, 2026.
  • Rights: links a public price page on the provider site.