# Fly.io — AI Tool Profile
> Source: https://agentrobbies.com/tools/fly-io-platform
> Ecosystem: DEPLOYMENT | Verified: 2026-10-11
> 100% Independent Listing • Zero Affiliate Links

## Description
Deploy Docker containers and full-stack AI web applications physically close to users around the globe. Runs on physical bare-metal servers using lightweight Firecracker microVMs and GPU acceleration.

## Access & Pricing
Hobby Free Allowance, Pay-As-You-Go ($0.000002/sec compute), GPU machines.

## Key Capabilities
- Fast Firecracker microVM startup times across 35+ global regions
- Direct attached NVMe volumes and persistent SQLite / Postgres replication
- On-demand GPU instances for running custom PyTorch and Ollama workloads

## Alternatives & Replaces
- Heavy, slow-to-boot traditional virtual machine fleets

## Robbie's Take
**Robbie's Hardware & Practical Fit:** Excellent candidate for local execution with zero cloud lock-in. For 7B-8B parameter models, budget at least 8 GB of unified memory or VRAM (Q4_K_M quantization). For 32B-70B models, aim for 24 GB+ to maintain interactive throughput without CPU offload penalties.

## Direct Link
https://fly.io