Private Cloud AI
Deploy AI models on your own infrastructure. Self-hosted, private, secure.
专职通用通用安保单位部署
在您首选的云区部署Free.ai个专用 GPU 服务器。 完全数据孤立、 定制模式主机和 SLA 支持的启动时间。 您的数据从不触及共享的基础设施 。
包含的内容
- 专用硬件 — No shared GPUs, guaranteed capacity
- 数据孤立 — Your data never leaves your deployment
- 区域选择 — US, EU, Asia-Pacific, or custom
- 所有开放源代码模型 — Pre-loaded and optimized
- 自定义模式 — Fine-tune on your data or bring your own
- 管理更新 — We handle patching and model updates
- 全部API — Same API as free.ai, on your domain
- 监测 — 24/7 health checks and alerting
FAQ 常见时( Q)
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.