Cerebrium

Freemium

A tool for training, deployment, and monitoring of machine learning models.

Cerebrium is a serverless AI infrastructure platform designed for the deployment, training, and monitoring of machine learning models. It features per-second billing, fast cold starts under two seconds, and multi-region support for LLMs and vision models. The tool is built for machine learning engineers and startups seeking to scale AI applications with zero DevOps overhead (verified: 2026-01-29).

Jan 29, 2026
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Pricing: Freemium
Last verified: Jan 29, 2026
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Key facts

Pricing

Freemium

Use cases

Machine learning engineers deploying large language models and vision models globally with low latency requirements (verified: 2026-01-29), Software developers implementing serverless infrastructure for real-time AI applications without managing complex DevOps workflows (verified: 2026-01-29), Enterprise teams requiring multi-region compliance and gradual rollouts for zero-downtime machine learning updates (verified: 2026-01-29)

Strengths

The platform provides per-second billing for compute resources to ensure users only pay for active processing time (verified: 2026-01-29), Infrastructure supports fast cold starts with an average application launch time of two seconds or less (verified: 2026-01-29), Integrated observability tools allow for real-time monitoring and log retention for up to 30 days on standard plans (verified: 2026-01-29)

Limitations

The Hobby plan limits users to three deployed applications and five concurrent GPU instances (verified: 2026-01-29), Standard and Hobby tiers restrict log retention to a maximum of 30 days and one day respectively (verified: 2026-01-29)

Last verified

Jan 29, 2026

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Strengths

  • The platform provides per-second billing for compute resources to ensure users only pay for active processing time (verified: 2026-01-29)
  • Infrastructure supports fast cold starts with an average application launch time of two seconds or less (verified: 2026-01-29)
  • Integrated observability tools allow for real-time monitoring and log retention for up to 30 days on standard plans (verified: 2026-01-29)

Limitations

  • The Hobby plan limits users to three deployed applications and five concurrent GPU instances (verified: 2026-01-29)
  • Standard and Hobby tiers restrict log retention to a maximum of 30 days and one day respectively (verified: 2026-01-29)

FAQ

How does the billing structure work for compute resources on the platform?

Cerebrium utilizes a per-second billing model where users pay only for the compute resources consumed during execution. This includes specific rates for various hardware options such as CPU-only, T4, L4, A100, and H100 GPUs, ensuring no costs are incurred for idle resources (verified: 2026-01-29).

What are the limitations for developers using the free Hobby plan tier?

The Hobby plan is designed for developers getting started and includes three user seats, three deployed applications, and five concurrent GPUs. It also provides one day of log retention and access to Slack and Intercom support channels (verified: 2026-01-29).

Does the infrastructure support secure management of sensitive application data?

Yes, the platform includes a secrets management system that allows users to store and manage API keys and other sensitive credentials securely via the dashboard. This feature is available across all plan tiers including Hobby, Standard, and Enterprise (verified: 2026-01-29).