What is Cerebrium and how does it work?

Cerebrium is a serverless AI infrastructure platform that lets you deploy and scale machine learning models without managing servers. You write your code, and Cerebrium handles cold starts, autoscaling, GPU allocation, and observability automatically.

How much does Cerebrium cost?

Cerebrium offers a free trial with up to 3 deployed apps and 5 concurrent GPUs. Paid plans start with a Hobby tier and scale up to an Enterprise plan with unlimited apps and GPUs. Pricing is pay-per-use, charged down to the millisecond with no fees for idle time.

What countries does Cerebrium operate in?

Cerebrium was founded in Cape Town, South Africa, and currently operates globally.

How do I sign up for Cerebrium?

Users can sign up via the Cerebrium website to receive initial free credits.

Does Cerebrium have a mobile app?

As a developer-focused infrastructure platform, Cerebrium operates via a web dashboard and CLI rather than a mobile app.

Who is Cerebrium best suited for?

Cerebrium is built for machine learning engineers, data scientists, and development teams deploying AI applications like LLMs, voice bots, vision models, and real-time inference pipelines at scale.

How do I contact Cerebrium support?

Support is available via email at support@cerebrium.ai or through the company's Discord server.

Does Cerebrium have a plan for teams or businesses?

Yes, Cerebrium offers team plans. The Standard plan includes 10 user seats, and the Enterprise plan includes unlimited seats with dedicated Slack support.

Does Cerebrium offer an API or integrations?

Yes, Cerebrium offers a public API. View the official Cerebrium API documentation for endpoints, authentication, and integration guides.

Cerebrium

🌍 Pan-African

A serverless AI infrastructure platform for developers and ML teams to deploy LLMs, agents, and vision models with low cold starts, autoscaling, and per-second billing.

Use it on:Web API

Is Cerebrium right for you?

Best for

Ml teams
Ai app developers
Real-time ai apps
Model deployment teams
Serverless gpu users

What it does well

Serverless gpu hosting
Low cold starts
Autoscaling for traffic
Per-second billing
Deploy llms and vision

Things to check

Gpu types available
Model size limits
Regions and latency
Ci cd workflow fit
Pricing fit

Cerebrium is a serverless AI infrastructure platform for developers and ML teams building real-time AI applications such as LLMs, agents, voice, and vision workloads.

Key capabilities include:

Serverless GPUs with fast cold starts: Applications start in 2 seconds or less on average, supporting real-time inference use cases.
Auto-scaling and multi-region deployments: Scale from zero to thousands of containers/requests and deploy across regions for performance and compliance needs.
Multiple endpoint types for inference: Expose workloads via REST, WebSocket for real-time interactions, and streaming endpoints to send tokens/chunks as they generate.
Operational tooling for production: Batching and concurrency controls for throughput, asynchronous jobs for background workloads (for example, training tasks), distributed storage for weights/logs/artifacts, OpenTelemetry for metrics/traces/logs, plus CI/CD with gradual rollouts, secrets management, and bring-your-own runtime via custom Dockerfiles.

Available on Web (dashboard) and via API endpoints.

Built for B2B users, including software developers, machine learning engineers, data scientists, startups, and enterprises deploying latency-sensitive AI services.

Notable context: the platform lists SOC 2, HIPAA, and ISO 27001 compliance, targets high-reliability deployments with a stated 99.999% uptime, provides per-second usage pricing with $30 free credit on signup, and includes case studies relevant to teams building voice, video, and “digital human” experiences (for example Tavus, Lelapa AI, and bitHuman).

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Categories:

AI & Analytics Developer Tools & Cloud

Features & Business Model:

ai-powered b2b ci-cd cloud-hosting saas