Micro-VMs for the AI era

Micro-VMs for AI workloads

Zero-downtime snapshots. Native branching. 50-90% compute savings. Built for coding agents, browser automation, and RL training.

~170ms

Boot time

0ms

Snapshot pause

50-90%

Cost savings

Launch a VM Read Docs

Developer Experience

A few lines of Python

import asyncio
from fastvm import FastVM

async def main():
    async with FastVM() as client:
        # Launch a micro-VM (~170ms boot)
        vm = await client.launch(machine="c1m2")

        await client.run(vm, "apt install -y python3")
        result = await client.run(vm, "python3 --version")
        print(result.stdout) # => Python 3.13.5

asyncio.run(main())

PythonReady

Micro-VMs for AI workloads

Zero-downtime snapshots. Native branching. 50-90% compute savings. Built for coding agents, browser automation, and RL training.

~170ms

Boot time

0ms

Snapshot pause

50-90%

Cost savings

Launch a VM Read Docs

import asyncio
from fastvm import FastVM

async def main():
    async with FastVM() as client:
        # Launch a micro-VM (~170ms boot)
        vm = await client.launch(machine="c1m2")

        await client.run(vm, "apt install -y python3")
        result = await client.run(vm, "python3 --version")
        print(result.stdout) # => Python 3.13.5

asyncio.run(main())

PythonReady

Performance

How we compare

Purpose-built infrastructure for AI workloads. Not retrofitted containers or legacy VM architectures.

Metric	Fast VM	E2B	Modal	Fly.io Sprites
Boot time	~170ms	300ms	500-1000ms	~300ms
Snapshot	Zero-downtime	Pause-and-copy	~2s (GPU)	~300ms
Branching	Native
Storage scaling	Logarithmic	Linear	Linear	Linear
Compute cost	50-90% savings	Standard	Standard	Standard
Isolation	Hardware VM	Hardware VM	gVisor	Hardware VM

Fast VM

Others

Boot time

~170ms

300ms

Snapshot

Zero-downtime

Pause-and-copy

Branching

Native

—

Storage scaling

Logarithmic

Linear

Compute cost

50-90% savings

Standard

Isolation

Hardware VM

Use Cases

Built for AI workloads. Ready for anything.

Long-running agents that execute code for minutes to hours need checkpointing.

1Snapshot every N minutes
2Rollback instantly on failure instead of retrying from scratch
3Branch to explore multiple approaches in parallel
4Merge the best result

AI Coding Agents

Long-running agents that execute code for minutes to hours need checkpointing.

1Snapshot every N minutes
2Rollback instantly on failure instead of retrying from scratch
3Branch to explore multiple approaches in parallel
4Merge the best result

Ready to build?

Launch a VM