AI tool comparison
Fly.io vs SST
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Infrastructure
Fly.io
Deploy app servers close to your users globally
100%
Panel ship
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Community
Free
Entry
Fly.io runs your app servers in data centers around the world, close to your users. Supports any Docker container, persistent storage, and GPU workloads. Popular for deploying full-stack apps and AI inference.
Infrastructure
SST
Build modern full-stack apps on AWS
100%
Panel ship
—
Community
Free
Entry
SST (Serverless Stack) provides the best developer experience for building full-stack apps on AWS. Live Lambda development, Ion v3 with Pulumi, and multi-cloud support.
Reviewer scorecard
“For apps that need full server control — WebSocket servers, background workers, AI inference — Fly.io gives you the flexibility that serverless platforms don't.”
“The best way to use AWS. Live Lambda debugging, simple configuration, and the migration to Ion (Pulumi-based) is smart.”
“The DX has improved massively but it's still more complex than Vercel. You need to understand Docker and infrastructure. Not for beginners.”
“Makes AWS approachable for full-stack developers. The DX gap between SST and raw CDK is enormous.”
“Fly.io is the answer for workloads that don't fit the serverless model. As AI inference goes local-first, having servers in 30+ regions matters.”
“SST proves AWS can have great DX. Ion's Pulumi-based multi-cloud approach positions it for the future.”
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