AI INFRASTRUCTURE CLOUD

Build. Scale. Deploy.

The fastest way to run, fine‑tune, and serve generative AI models at enterprise scale.

2x

Faster fine‑tuning

60%

Lower inference cost

90%

Less ops overhead

Platform

Everything you need to run AI at scale

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Serverless Inference

Instantly run models without managing infrastructure. Pay‑per‑token pricing.

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Fine‑tuning Studio

Customize models with your data through a visual, no‑code interface.

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Global GPU Scheduling

Distribute workloads across GPU clusters for maximum throughput.

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Process

How It Works

01 trending_up

Choose a model

Select from a library of open‑source and proprietary models.

02 flash_auto

Configure & deploy

Set parameters, select regions, and launch in seconds.

03 monitoring

Monitor & scale

Track performance, auto‑scale, and optimize costs.

“Stratus reduced our inference latency by 40 % without any engineering overhead.”

Dr. Elena Rostova

Lead ML Engineer

Nebula Labs

“The fine‑tuning studio is the only tool we’ve used that lets us iterate in hours, not days.”

Marcus Chen

Data Science Lead

OptiAI

“Global GPU scheduling lets us serve traffic across three regions with a single API call.”

Sophie Bernard

CTO

Stratosys

Pricing

Simple, transparent pricing

Developer

$0

  • check 1M tokens/mo
  • flash_on Serverless inference
  • support Community support
Start free

Enterprise

Custom

  • check Unlimited tokens
  • flash_on Dedicated endpoints
  • support 24/7 phone support
  • monitoring SLA‑backed guarantees
Contact sales

Help

Frequently asked questions

Do you support enterprise security standards?
Yes. We are SOC 2‑Type II, ISO 27001, and GDPR‑compliant. All data at rest is encrypted with customer‑managed keys.
What are the model context‑window limits?
Context windows range from 8K to 1M tokens, depending on the model tier. Contact sales for custom limits.
Can I bring my own model?
Yes. You can upload custom model artifacts and run inference or fine‑tuning through our platform.
What is your uptime SLA?
99.9 % monthly uptime SLA for Scale and Enterprise tiers. Developer tier best‑effort.
How do you handle billing and upgrades?
Billing is monthly or annual. Upgrades take effect instantly; downgrades apply at the next billing cycle.

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