Beam Cloudvs
Cerebrium
Cerebrium: Serverless GPU platform with similar sub-second cold start capabilities
Beam Cloud
Serverless GPU computing with sub-second cold starts and multi-cloud support
Overview
What Beam Cloud does
Beam Cloud is a serverless GPU compute platform backed by Y Combinator that enables developers to deploy AI workloads at scale without managing infrastructure. The platform specializes in fast startup times through memory snapshots that restore GPU containers 35x faster than traditional cold boots, achieving sub-second cold starts. It provides three core services: Inference for high-performance model endpoints with autoscaling, Task Queues for large-scale batch workloads with retries and callbacks, and Sandboxes for secure, isolated environments with persistent state. The platform supports multi-cloud deployment across AWS, GCP, Azure, Hetzner, and other providers with 30+ global regions available. Developers use a simple Python SDK without requiring YAML or Dockerfiles, and can fork sandboxes into thousands of concurrent runs for massive parallelization. Pricing offers $30 monthly free credits for all users, with H100 GPUs starting at $0.69/hour and Team plan at $89/month including additional resources.
What people use it for
- Deploying ML models with minimal latency and setup time
- Large-scale batch processing across thousands of concurrent tasks
- Cost-effective inference serving with bursty workloads
- Multi-cloud AI deployments with global low-latency access
- Serverless AI development for rapid experimentation
Related searches
The honest half
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 Beam Cloud.
- Free tier limited to $30 monthly credits with 5 GPU containers
- Massive parallelization complexity may require DevOps expertise
- Per-millisecond pricing model requires careful cost monitoring
- Smaller team relative to established cloud providers
Cross-shopped
What people choose instead of Beam Cloud
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 CloudvsTogether AI
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- Beam CloudvsLambda
Lambda: Enterprise GPU cloud with single-tenant options
Pricing
What Beam Cloud costs
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Developer
Free
- $30 monthly free credits
- 5 GPU containers, 30 CPU containers
- Community support
- No upfront commitment
Team
$89 /mo
- $30 monthly free credits included
- 50 GPU containers, 1,000 CPU containers
- 3 seats included, $25 per additional
- Live chat support
Growth
On request
- 1,000+ GPU containers
- Unlimited CPU containers
- Unlimited seats
- Private Slack support
Serverless GPUs
On request
- RTX 4090: $0.00019/sec
Sandboxes
On request
- 1-core system: $0.319/hour
On-Demand Machines
On request
- H100 from $1.74/hour
Capabilities
Features
Sub-second cold starts
Memory snapshots restore containers 35x faster than traditional boot
Inference endpoints
Deploy high-performance model endpoints with autoscaling
Task queues
Run large-scale batch workloads with retries and callbacks
Sandboxes
Secure, isolated environments with persistent state
Multi-cloud support
Deploy across AWS, GCP, Azure, Hetzner, and other providers
Python SDK
Deploy with Python code without YAML or Dockerfiles
Global distribution
30+ regions worldwide for low-latency deployment
Massive parallelization
Fork sandboxes into thousands of concurrent runs
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.
What is included in the Developer plan?
The Developer plan includes $30 monthly free credits, 5 GPU containers, 30 CPU containers, and community support. No upfront commitment is required.
SourceHow fast are the cold starts?
Beam Cloud achieves sub-second cold starts through memory snapshots that restore GPU containers 35x faster than traditional cold boots.
SourceCan I deploy across multiple cloud providers?
Yes, Beam Cloud supports multi-cloud deployment across AWS, GCP, Azure, Hetzner, and other providers with 30+ global regions available.
SourceKeep looking
Where to go from Beam Cloud
- Beam Cloud alternativesEvery product people weigh against it
- Beam Cloud pricingPlans, floors and what the tiers exclude
- Beam Cloud badgesWhich rules it meets, and the figure behind each
- All Cloud softwareThe full category
- Best Cloud softwareThe shortlist, and how it was cut
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Compare Beam Cloud with
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- Fly.io
- Anyscale
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- Podman
- Railway
- Render
- Vault
- Wiz
- Cerebrium
- DeepInfra
- Go
- Azure Functions
- Caddy
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Softwr does not host reviews and shows no star rating for Beam Cloud, 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.
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