Lambda Labs
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Railway
Available NowBest for Full-stack developers who want Heroku-like simplicity but with modern tooling, automated Docker builds, and integrated databases.
Railway is a modern infrastructure platform that brings the simplicity of local development to the cloud. Developers simply connect a repository, and Railway automatically analyzes the code (Python, Node, Rust, etc.), builds the container, and deploys the compute environment instantly. Unlike purely frontend clouds, Railway provides full-stack capabilities, allowing developers to spin up PostgreSQL databases, Redis instances, and background workers in the same project dashboard. It is rapidly replacing Heroku as the favored PaaS for modern developers.
Pros & Cons
Pros
- Incredibly fast deployment from zero to production
- Nixpacks automatically detects and builds code without Dockerfiles
- Unified canvas for microservices and databases
Cons
- Does not offer raw unmanaged GPU servers
- Less granular network control for massive enterprises
Ideal Use Cases
Automated ContainerizationFull-Stack HostingRapid Prototyping
| GPU Models | Managed CPU Compute |
| GPU Types | Managed CPU Compute |
| Headquarters | San Francisco, CA |
| Founded | 2020 |
| Availability | Available Now |
| Website | railway.app ↗ |
$5.00/ hour (starting)—$50.00/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
US
EU
Starting from
$5.00/hr
Up to $50.00/hr
Frequently Asked Questions
Railway GPU cloud pricing starts from $5.00/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Railway offers Managed CPU Compute GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Railway operates data centers in EU, US. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Railway and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Railway offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
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