Nebula
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inference cloud · frontier ai

Run any model.
Serve billions.

Nebula is the inference cloud for frontier AI — deploy any open model and serve billions of tokens at 4× lower cost.

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4× lower cost 8ms cold start 200+ open models
Trusted by AI teams at
VECTORAVECTORA
HELIXHELIX
CORTEXCORTEX
SYNTHEASYNTHEA
KALMANKALMAN
ORBITALORBITAL
ZEPHYRZEPHYR
QUANTAQUANTA
The problem

Inference is the new bottleneck. Your model is ready, but every request pays a 30-second cold start and a bill that doesn't make sense.

Features

Inference that keeps up with your ambitions.

Everything you need to deploy, serve and scale frontier models — without the infrastructure headaches.

Serverless inference

Deploy any open model with one command. Scale to zero when idle — you only pay for tokens.

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Multi-GPU autoscaling

From a single H100 to thousands. Capacity scales automatically with traffic — no planning.

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8ms cold start

Models stay warm and ready. No 30-second spin-up, no dropped requests.

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4× cheaper per token

Batched kernels and optimized schedulers cut cost without cutting quality.

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Fine-tuning

Fine-tune open models on your own data, then serve the checkpoint instantly.

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Observability

Token usage, latency and cost per request — with safety filters built in.

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The product

From model to production in one command.

  • Deploy any open model with a single line
  • Serve billions of tokens, autoscaled
  • Pay per token, at 4× lower cost
deploy.py
# deploy an open model with one command
from nebula import Client

nebula = Client(api_key="nk_...")

model = nebula.deploy("llama-3.1-70b")

resp = model.complete("What is Nebula?")
print(resp.text)  # served in 8ms
How it works

Three steps to production inference.

01

Deploy

Point Nebula at any open model — one command, no Docker, no cluster.

02

Serve

Requests hit a warm, autoscaled fleet with an 8ms cold start.

03

Scale

Traffic spikes handled automatically — from zero to billions of tokens.

lower cost per token
0ms
cold start
0
open models
0%
uptime SLA
Customers

Teams shipping AI at scale.

★★★★★

"We cut our inference bill by 4× and our cold starts went from 30 seconds to single digits. Nebula just works."

AV
Amara Vance
Head of AI, Vectora
★★★★★

"One command to deploy, and it autoscales to billions of tokens without us touching a thing."

JR
Jonas Reyes
CTO, Helix
★★★★★

"Fine-tuned a model on our data and served it the same afternoon. That kind of loop speed changes everything."

MK
Mina Kovač
ML Lead, Cortex
Pricing

Pay for the tokens you serve.

Free
$0/mo

For prototyping and side projects.

  • 1M tokens / month
  • Community models
  • 8ms cold start
Start free
Enterprise
Custom

Dedicated clusters, VPC and compliance for large orgs.

  • Dedicated clusters
  • VPC / on-prem
  • SSO / SLA
Contact us
FAQ

Questions, answered.

How is it 4× cheaper? +
We batch requests across a shared, optimized fleet and run custom kernels, so you pay less per token without sacrificing quality or latency.
Which models can I run? +
200+ open models out of the box — Llama, Mistral, Qwen and more — plus any fine-tuned checkpoint you bring. See the docs.
What does "8ms cold start" mean? +
Models stay warm on standby, so the first token arrives in single-digit milliseconds instead of waiting 30 seconds for a container to boot.
Is my data safe? +
SOC 2 Type II, VPC deployment options, and encryption everywhere. Your prompts and fine-tunes are never used to train shared models.
Get started

Run your first model in minutes.

Deploy any open model and serve your first tokens today.

Get started