The AI cloud built for
fast-moving startups.

Reserve GPUs, exchange Lilac contracts, or run inference.

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Products

One GPU Network.
Four ways to use Compute.

Dedicated clusters

Dedicated GPU infrastructure, directly from Lilac

Compare indicative pricing across GPU VMs, bare-metal nodes, and multi-node clusters. Lilac handles capacity, access, and support.

Reserve H100s

Indicative pricing. Final rates depend on configuration and term.

*Estimate pricing

Serverless

Frontier models, simple per-token pricing

Use supported open models through an OpenAI-compatible API. No GPU reservation, no minimums, and no infrastructure to manage.

Live catalogExplore models
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Subscriptions

Monthly inference credits that stretch further

Choose a flat monthly credit pool for supported models. Lower-cost capacity lets a predictable subscription cover more product usage.

Up to 12x valueGet started

Batch

Run GPU jobs to completion

Submit a container image and a command. Lilac runs it on available GPU capacity with simple per-second pricing and no cluster to manage.

Private betaJoin private beta

Commitment lifecycle

Commit without getting trapped.

Reserve what you need now. Use Lilac Flex to sell eligible downtime into spot demand, or transfer an approved Lilac commitment as plans change.

01

Reserve

Choose the capacity you need now.

Select the GPU, region, scale, and term. The final quote names the site, network, delivery date, and commercial terms.

02

Lilac Flex

Sell eligible downtime to reduce your bill.

Choose unused reservation windows to sell through Lilac's spot network. When demand is matched, bill credits lower your effective GPU cost.

Explore Lilac Flex
03

Transfer

Change the owner when plans change.

Relist an eligible portion of your Lilac commitment to a verified Lilac customer. Lilac qualifies the buyer and coordinates approval.

Explore the exchange
Talk to our team

GPU cloud for startups

The compute is already on.
Put it to work.