Private Cloud AI | Free.ai
Deploy AI models on your own infrastructure. Self-hosted, private, secure.
Despliegue específico de la GPU
Implemente Free.ai en servidores GPU dedicados en su región de nube preferida. Aislamiento completo de datos, alojamiento de modelos personalizados y tiempo de funcionamiento respaldado por SLA. Sus datos nunca tocan la infraestructura compartida.
Iniciador
1 NVIDIA A100 (80GB)
- Todos los modelos auto-anfitriones incluidos
- Hasta 50 usuarios concurrentes
- 99,5% de tiempo de actividad SLA
- Soporte de correo electrónico
Cuadro orgánico
2 NVIDIA A100 (80GB)
- Todos los modelos + ajuste personalizado
- Hasta 200 usuarios concurrentes
- 99,9% tiempo de actividad SLA
- Soporte prioritario + canal de Slack
- Integración SSO / SAML
Empresa
Clúster de GPU personalizado (H100)
- Modelos ilimitados y ajuste fino
- Usuarios concurrentes ilimitados
- 99,99% de tiempo de actividad SLA
- Gestor de cuentas dedicado
- Opción en el establecimiento disponible
Lo que se incluye
- Equipo especializado — No shared GPUs, guaranteed capacity
- Aislamiento de datos — Your data never leaves your deployment
- Selección de la región — US, EU, Asia-Pacific, or custom
- Todos los modelos de código abierto — Pre-loaded and optimized
- Modelos personalizados — Fine-tune on your data or bring your own
- Actualizaciones gestionadas — We handle patching and model updates
- API completa — Same API as free.ai, on your domain
- Supervisión — 24/7 health checks and alerting
Preguntas más frecuentes
A private cloud deployment gives your organization dedicated GPU servers running Free.ai infrastructure in your preferred cloud region. Your data never touches shared infrastructure, and you get guaranteed compute capacity with an SLA.
Three tiers: Starter (1x A100, up to 50 concurrent users, 99.5% SLA), Professional (2x A100, up to 200 users, 99.9% SLA, SSO, custom fine-tuning), and Enterprise (custom H100 cluster, unlimited users, 99.99% SLA, on-premise option).
We deploy in US, EU, Asia-Pacific, and custom regions based on your compliance requirements. Region selection ensures data residency compliance for regulations like GDPR and HIPAA.
Yes. All self-hosted open-source models are pre-loaded and optimized on your dedicated GPU servers. The Professional and Enterprise tiers also support custom model fine-tuning and bringing your own models.
Your private cloud instance runs on dedicated hardware with no shared resources. Your data never leaves your deployment, is not accessible by other customers, and is not used for training. Full network isolation is included.
Most private cloud deployments go live within 1-2 weeks. Enterprise tier with custom configurations may take longer depending on requirements. Contact sales for a timeline specific to your needs.
Yes, on Professional and Enterprise tiers. You can deploy your own fine-tuned models alongside our standard open-source models. We help with model optimization and deployment configuration.
SSO/SAML integration is included in the Professional and Enterprise tiers. You can connect your identity provider (Okta, Azure AD, Google Workspace) for centralized authentication and access control.
All tiers include 24/7 health checks and alerting. Professional and Enterprise tiers add detailed performance metrics, usage dashboards, and proactive capacity monitoring. We handle all infrastructure maintenance.
Private cloud pricing is based on GPU allocation, region, and SLA level. Contact sales for a custom quote. Pricing is predictable -- fixed monthly cost rather than per-token billing.
Yes. You can upgrade between tiers or add additional GPU capacity as your usage grows. Scaling up is handled by our team with minimal disruption to your service.
Private cloud runs on dedicated hardware in our managed cloud infrastructure. On-premise (Enterprise tier) deploys on your own physical hardware in your own data center. Both offer full data isolation, but on-premise gives you physical control of the servers.