Pricing

Cerebrium pricing shouldn’t be directly compared to raw CPU or GPU instance prices on AWS, GCP, or NeoClouds. Traditional cloud compute often includes minutes of provisioning, warm-up, and idle time that you still pay for, along with the added cost of overprovisioning for peak demand. Cerebrium, by contrast, scales containers up and down in 1–3 seconds, and its memory and GPU snapshotting can restore workloads even faster, reducing billable startup overhead.

Our pricing also includes orchestration, networking, and the serverless platform required to run AI workloads in production, so comparing GPU cost alone misses the bigger picture. In addition, Cerebrium integrates across multiple cloud providers globally, allowing us to route workloads to the most cost-efficient infrastructure available through a single integration. For bursty or unpredictable workloads, this often makes Cerebrium more cost-effective overall, since you pay for less idle time and avoid the burden of managing infrastructure yourself.

If you run a transcription workload on an L4 GPU with 2 vCPUs and 10GB memory (costing you $0.000257 per second) and each request runs for 2.4 seconds, then 500,000 requests in a month would cost roughly $309.

Because Cerebrium bills based on the resources you allocate and how long they actively run, you only pay for compute while your workload is processing requests.

If you want a more comprehensive breakdown, you can take a look in our docs here.

No. Cerebrium pricing is separate from AWS and GCP, so their cloud credits can’t be applied to usage on our platform.

Yes. We offer discounts for larger deployments and longer-term commitments.

Pricing depends on several factors, including your expected spend, the number of consecutive months you plan to maintain that spend, and the specific GPU or compute SKUs you need. Discounts can also vary based on current infrastructure availability.

For larger or longer-term workloads, reach out to our team and we can put together pricing tailored to your deployment.

Yes. For bursty workloads, Cerebrium can guarantee access to capacity without requiring you to reserve and pay for infrastructure 24/7. Instead, you pay for the compute you use, with a minimum monthly spend commitment.

For example, we may guarantee access to up to 50 H100s at any point in time, for however long you need them, with a $10,000 minimum monthly spend.