Beam Cloud

Serverless GPU computing with sub-second cold starts and multi-cloud support

As of 29 August 2026, Beam Cloud has a free plan and paid plans start at $89/month. Beam Cloud is a serverless GPU computing platform enabling developers to deploy AI workloads with sub-second cold starts across multiple cloud providers. Softwr lists it under Cloud. Beam Cloud is available on Web, API.

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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

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 Cloudvs
Cerebrium
Cerebrium: Serverless GPU platform with similar sub-second cold start capabilities
Beam Cloudvs
Together AI
Together AI: Full-stack AI cloud with diverse inference and compute options
Beam Cloudvs
Lambda
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.

Source

How 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.

Source

Can 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.

Source

Keep looking

Where to go from Beam Cloud

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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.