Fly.io.
Global edge compute with GPU support — applications closer to the user.
What it is.
Fly.io runs application containers as Firecracker microVMs in 35-plus cities worldwide. the founding team launched the company in 2017 as Mackey's earlier company Compose pivot. Fly added GPU support in 2024 with A100 and L40S instances, positioning the platform between hyperscalers and pure-edge networks like Cloudflare Workers.
Where it fits.
Applications where latency matters and the workload outgrows serverless function limits. Strong with Phoenix, Elixir, Rust, and Go teams who want global deployment without per-region orchestration. The GPU tier targets builders running open-source LLM inference closer to the user than centralized providers allow.
- 35 global regions with single-command deploys
- Firecracker microVMs replace Kubernetes for most workloads
- GPU support since 2024 across A100 and L40S
- Operational learning curve steeper than Railway or Render
- Past outages cost the company enterprise reputation in 2023
Frequently asked.
Fly.io or AWS for global deployment?
Fly.io for single-binary applications that benefit from edge placement. AWS for everything else — managed services, compliance, and integration surface area win at the enterprise tier.
Does Fly.io support GPU inference?
Yes. A100 and L40S instances are available in select regions. Pricing is per-second with no upfront commitment.
How does Fly.io compare to Cloudflare Workers?
Fly runs full containers with persistent disk. Workers runs isolated functions with no filesystem. Fly suits stateful applications; Workers suits ultra-low-latency stateless logic.
