AI Infrastructure Platform

AI infrastructure
without the complexity

Deploy inference APIs, training pipelines, and batch processing to production with a single command. Scale automatically. Pay only when running.

Making AI deployment effortless for developers

From code to production in 60 seconds

No Docker. No Kubernetes. No cloud console.

1

Write your code

Use any framework: FastAPI, Express, Flask. Fibre works with your existing code. No SDK lock-in, no rewrites.

2

fibre deploy

One command builds your image, provisions a GPU, and gives you a production URL. Subsequent deploys in under 5 seconds.

3

Scale automatically

Scales to zero when idle, so you pay nothing. Wakes on the first request. Scales out under load.

$ fibre deploy --name whisper-api --gpu T4

  Building image... done (2s)
  Deploying to us-east-1...

  Live at https://whisper-api--acme.fibre.run

  GPU: T4 (16 GB VRAM)
  Scale: 0 → 5 replicas
  Billed per second, only when running

Everything you need, nothing you don't

Full dedicated GPUs

T4, A10G, L40S, H100. No sharing, no throttling. Your sandbox gets the entire GPU.

Per-second billing

Pay only when your sandbox is running. Billing starts when ready, stops the instant it sleeps.

Isolated sandboxes

Every sandbox runs in its own secure environment. Your code, your GPU, completely isolated.

One-command deploys

No Dockerfiles. No Kubernetes. No cloud consoles. One command and you’re live.

Serverless scaling

Scale to zero when idle. Wake on demand. Scale out to handle traffic spikes.

Encrypted secrets

Secrets encrypted at rest, injected at runtime. fibre secrets set and your sandbox has it.

A CLI that gets out of your way

# Authenticate
$ fibre setup
   Logged in as john.doe@acme.dev

# Deploy a GPU workload
$ fibre deploy --name whisper --gpu T4 --port 8000
   Live at https://whisper--acme.fibre.run

# Check status
$ fibre apps list
  NAME        GPU    STATUS     URL
  whisper     T4     running    https://whisper--acme.fibre.run

# Stream logs
$ fibre logs whisper --follow
  [10:15:23] Model loaded in 11.2s
  [10:15:24] Inference: 203ms, text="Hello world"

# Manage secrets
$ fibre secrets set OPENAI_KEY=sk-xxx
   Secret OPENAI_KEY saved

Pick your GPU

T4

16 GB

Dev & prototyping

A10G

24 GB

Production inference

L40S

48 GB

Large models

H100

80 GB

Maximum performance

CPU-only sandboxes also available for non-GPU workloads.

Pay for compute, not for idle.

Traditional GPU instances charge whether you're using them or not. Fibre bills per second, only when your workload is running. Scale to zero between requests. No minimums. No commitments. Stop paying for GPUs that sit idle.

Start deploying in 60 seconds.

$ npm install -g @fibre-dev/cli && fibre setup
Get Started