Cerebrium

Serverless GPU infrastructure for real-time AI inference and applications

As of 29 August 2026, Cerebrium has a free plan and paid plans start at $100/month. Cerebrium is a serverless GPU infrastructure platform that enables teams to deploy and scale AI workloads with minimal latency. Softwr lists it under Cloud. Cerebrium is available on Web, Self-hosted.

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Overview

What Cerebrium does

Cerebrium is a serverless GPU infrastructure platform founded in Cape Town and headquartered in New York that enables rapid deployment of production AI applications. The platform delivers real-time AI infrastructure that scales without capacity planning, reservations, or infrastructure management. It achieves 2-4 second cold starts through innovative memory and GPU snapshotting techniques, providing instant access to 2,500+ GPUs across multiple clouds and regions. Developers bring their own code and Cerebrium runs it without requiring rewrites or custom SDKs, supporting standard Dockerfiles and entry points. The platform includes multi-region failovers with 99.999% uptime guarantee, SOC 2 Type II compliance, HIPAA certification, and observability features for real-time workload monitoring. Use cases include voice agents, video models, large language model serving, image processing, embeddings, and model training with hyperparameter sweeps.

What people use it for

Deploying voice agents and conversational AI applications
Video and image model serving with low latency
LLM inference and completion endpoints
Real-time embeddings and vector database operations
Distributed model training with hyperparameter sweeps

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Cerebrium.

Free Hobby tier limited to 3 apps and 5 GPU concurrency
Standard plan at $100/month required for production deployments
Per-second compute pricing requires continuous cost monitoring
Storage costs add up for large model files

Cross-shopped

What people choose instead of Cerebrium

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

Cerebriumvs
Beam Cloud
Beam Cloud: Serverless GPU platform with multi-cloud support and similar cold start performance
Cerebriumvs
Together AI
Together AI: Full-stack AI cloud with diverse compute and inference options
Cerebriumvs
Anyscale
Anyscale: Ray-based platform for distributed compute with similar scaling capabilities

Pricing

What Cerebrium costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Hobby

Free

3 user seats
Up to 3 deployed apps
5 GPU concurrency
Free tier

Standard

$100 /mo

Unlimited seats and apps
30 GPU concurrency
Custom domains
Included usage allowance

Enterprise

On request

Unlimited resources
Volume discounts
Dedicated support
ML engineering services

GPU Compute

On request

T4: $0.000164/s
H100: $0.00167/s

Memory

On request

$0.00000222/GB/s

Storage

On request

First 100GB free
$0.05/GB for additional storage

Capabilities

Features

Ultra-fast cold starts
2-4 second cold starts through memory and GPU snapshotting
Elastic scaling
Instant access to 2,500+ GPUs across multiple clouds and regions
Bring your own code
Support for standard Dockerfiles and entry points without code rewrites
Multi-region failover
99.999% uptime guarantee with automatic failover
WebSocket and streaming
Support for real-time streaming endpoints
Asynchronous jobs
Background processing with persistent state
CI/CD with gradual rollouts
Automated deployments with canary release support
OpenTelemetry integration
Built-in monitoring and observability

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Is Cerebrium only for inference or can it train models?

Cerebrium supports both inference serving and model training with hyperparameter sweeps. It enables deployment of voice agents, LLMs, video models, and other AI applications.

Source

How do the cold starts compare to other platforms?

Cerebrium achieves 2-4 second cold starts through memory and GPU snapshotting, significantly faster than traditional 30+ second cold boots. This is competitive with platforms like Beam Cloud.

Source

What compliance certifications does Cerebrium have?

Cerebrium maintains SOC 2 Type II compliance, HIPAA certification, GDPR compliance, and ISO certification. It provides gVisor container isolation and configurable data residency for regulated workloads.

Source

Keep looking

Where to go from Cerebrium

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Softwr does not host reviews and shows no star rating for Cerebrium, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.