Cloud · head to head
Beam Cloud vs Railway

Beam Cloud
Cloud
Serverless GPU computing with sub-second cold starts and multi-cloud support
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; Railway plan fees are usage credits rather than allowances, so the $5 Hobby and $20 Pro fees are spent on compute and anything beyond is billed on top
- They diverge on capability: Beam Cloud covers Sub-second cold starts, Railway covers Git integration.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Beam Cloud and Railway actually diverge.
| Attribute | Beam Cloud | Railway |
|---|---|---|
| Pricing model | Freemium with pay-per-millisecond usage charges | usage-based |
| Platforms | Cloud, Python | Web, Api, Docker |
| Founded | Unknown | 2021 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Beam Cloud
- Sub-second cold starts
- Inference endpoints
- Task queues
- Sandboxes
- Multi-cloud support
- Python SDK
- Global distribution
- Massive parallelization
Only in Railway
- Git integration
- Zero-config deployment
- PostgreSQL
- MySQL
- Redis
- Environment variables
- Custom domains
- Monitoring
What people use each for
The jobs each tool is most often brought in to do.
Beam Cloud
- Deploying ML models with minimal latency and setup timenot Railway
- Large-scale batch processing across thousands of concurrent tasksnot Railway
- Cost-effective inference serving with bursty workloadsnot Railway
- Multi-cloud AI deployments with global low-latency accessnot Railway
- Serverless AI development for rapid experimentationnot Railway
Railway
- Deploying applications and databases without managing serversnot Beam Cloud
- Running preview environments and services straight from a repositorynot Beam Cloud
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Railway
- Plan fees are usage credits rather than allowances, so the $5 Hobby and $20 Pro fees are spent on compute and anything beyond is billed on top
- The free plan carries $1 of monthly credit and caps a service at 1 vCPU and 0.5 GB
- Compute is metered per second for both memory and CPU, so cost tracks uptime rather than traffic and an idle service still bills
- Egress is $0.05 per GB on top of compute
- The Pro fee is per workspace rather than per user or per project
Pricing, plan by plan
Beam Cloud
Free- DeveloperFree
- $30 monthly free credits
- 5 GPU containers, 30 CPU containers
- Community support
- Team$89/month
- $30 monthly free credits included
- 50 GPU containers, 1,000 CPU containers
- 3 seats included, $25 per additional
- Growth$undefined/custom
- 1,000+ GPU containers
- Unlimited CPU containers
- Unlimited seats
- Serverless GPUs$undefined/per-millisecond
- RTX 4090: $0.00019/sec
Railway
Free- FreeFree
- $5 credit/month
- Community support
- Unlimited projects
- Pro$20/month
- Private repos
- Priority support
- Advanced monitoring
Which should you pick?
Choose Beam Cloud if
- You need sub-second cold starts.
- You want to start without paying.
- You work on Cloud, Python.
- You also want inference endpoints.
Choose Railway if
- You need git integration.
- You want to start without paying.
- You work on Web, Api, Docker.
- You also want zero-config deployment.
Questions people ask
- Is Beam Cloud or Railway better?
- Neither clearly leads. Beam Cloud starts at Free and Railway at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Beam Cloud or Railway?
- Beam Cloud starts at Free and Railway at Free.
- Does Beam Cloud or Railway run on more platforms?
- Beam Cloud runs on Cloud, Python. Railway runs on Web, Api, Docker.
- Can I use Beam Cloud for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Beam Cloud best used for?
- Beam Cloud is most often used 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. Of those, deploying ml models with minimal latency and setup time and large-scale batch processing across thousands of concurrent tasks are not what Railway is typically brought in for.
- What can Beam Cloud do that Railway cannot?
- Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. Railway covers Git integration, Zero-config deployment, PostgreSQL, MySQL.
Answered from the vendors’ own pages
Beam Cloud: 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.
SourceRailway: How much does Railway cost?
Railway's Hobby plan is $5 per month and includes $5 of monthly usage credit. Pro is $20 per month per workspace with $20 of credit included. Enterprise is quoted. Usage beyond the included credit is billed per second.
SourceBeam Cloud: 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.
SourceRailway: Does Railway have a free tier?
Yes, two. A one-time Free Trial gives $5 of credit valid for 30 days, and an ongoing Free plan includes $1 per month with 1 vCPU and 0.5 GB per service, 1 replica and 3 days of log history.
SourceBeam Cloud: 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.
SourceRailway: What are Railway's resource limits per plan?
The Free plan allows 1 vCPU and 0.5 GB per service with 1 replica. Hobby raises that to 48 vCPU and 48 GB with 6 replicas. Pro allows 1,000 vCPU and 1 TB per service with 42 replicas and 30 days of log history.
SourceRailway: How does Railway bill usage above the included credit?
Railway charges memory at $0.00000386 per GB per second and CPU at $0.00000772 per vCPU per second, with storage volumes at $0.00000006 per GB per second, plus separate egress and object storage fees.
SourceRelated pages
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