Beam vs Northflank
A side-by-side comparison of Beam and Northflank, two Infra tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Beam | Northflank |
|---|---|---|
| Category | Infra | Infra |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | CLI, API, Linux | Web, API, CLI |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Beam | Northflank |
| Capabilities (differs) |
|
|
The honest brief
Beam
Deploy GPU endpoints, sandboxes, and queues from a few lines of Python — open-core runtime (beta9) you can self-host.
- Define GPU workloads in pure Python
- Open-source runtime (beta9)
- Fast cold starts and autoscaling
- Free dev tier with monthly credit
- Smaller ecosystem than hyperscalers
- Python-centric; less polyglot
- Newer platform, maturing tooling
Northflank
One platform for apps and AI/GPU workloads, run on Northflank's cloud or your own AWS/GCP/Azure/bare-metal account (BYOC).
- Apps, databases, jobs & GPUs in one platform
- Per-second billing, no idle GPU charges
- Abstracts Kubernetes; Git-to-production
- Used by Writer, Sentry, Chai Discovery
- Free always-on Sandbox tier
- Smaller ecosystem than hyperscalers
- Breadth can mean a learning curve
- Pay-as-you-go costs need monitoring at scale
When to pick which
They share capabilities, but each leads with different ones as a headline job:
Beam is built around GPU compute.
- GPU compute (primary capability)
Northflank is built around App / agent deployment.
- App / agent deployment (primary capability)
They also differ on:
- Deployment
- Cloud · Hybrid
- Platforms
- CLI, API, Linux · Web, API, CLI
Their capability lists differ in recorded depth — compare the full lists above before deciding.