Cerebriumvs
Beam Cloud


Beam Cloud: Serverless GPU platform with multi-cloud support and similar cold start performance

Serverless GPU infrastructure for real-time AI inference and applications
Overview
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.
The honest half
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.
Cross-shopped
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.


Beam Cloud: Serverless GPU platform with multi-cloud support and similar cold start performance


Together AI: Full-stack AI cloud with diverse compute and inference options


Anyscale: Ray-based platform for distributed compute with similar scaling capabilities
Pricing
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Hobby
Free
Standard
$100 /mo
Enterprise
On request
GPU Compute
On request
Memory
On request
Storage
On request
Capabilities
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
Each answer names the page it came from, so you can check it rather than take our word for it.
Cerebrium supports both inference serving and model training with hyperparameter sweeps. It enables deployment of voice agents, LLMs, video models, and other AI applications.
SourceCerebrium 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.
SourceCerebrium 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.
SourceKeep looking
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Ship software instantly
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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.
What people switch to, and what they give up
Every tier, and where the cost actually lands
Put it head to head with anything we hold
Its rating, and an embed for your own site
Distributed tracing system for microservice latency
High-performance TCP and HTTP load balancer
Highly available Prometheus with long-term object storage
GitOps continuous delivery for Kubernetes
Template-free customisation of Kubernetes YAML
Fast, cost-effective time series database for metrics
Kubernetes management platform for multiple clusters
Web server with automatic HTTPS by default