Self-Hosted AI for Enterprise: Single-Tenant LLM Deployments
Self-hosted, single-tenant AI
Riven gives enterprises a self-hosted, single-tenant path to frontier AI. Each deployment runs on dedicated infrastructure, so your data, models, and traffic are isolated from other tenants. Self-hosted, single-tenant AI for enterprises that demand control, compliance, and performance. Your infrastructure or ours.
Control over data and infrastructure
With a single-tenant LLM deployment, your prompts, completions, and training data never share infrastructure with other customers. You choose where the deployment runs: your own cloud account, your on-premises GPUs, or Riven-managed infrastructure. This makes it easier to satisfy data-residency, audit, and compliance requirements without renegotiating a shared platform's terms.
Dedicated GPU resources
Self-hosted deployments run on dedicated GPU resources sized to your workload. There is no noisy-neighbor contention, no shared rate limits, and no dependency on a multi-tenant provider's capacity. You can scale compute to match demand and keep latency predictable for internal users and customer-facing applications.
20+ models, one deployment
A self-hosted Riven deployment can serve 20+ frontier models, including GPT-5.6, Claude, Gemini, GLM, and Kimi, through a single-tenant endpoint. The same OpenAI-compatible API used in Riven's cloud runs in your environment, so internal tooling, agents, and chat interfaces work without rewrites.
Compliance and procurement
For regulated industries, single-tenant isolation simplifies the compliance story: one tenant, one data boundary, one owner. Procurement, security review, and audit trails map cleanly to your existing controls rather than a shared SaaS tenant you cannot fully inspect.
Self-hosted Riven vs typical multi-tenant AI SaaS
| Feature | Self-hosted Riven | Multi-tenant AI SaaS |
|---|---|---|
| Tenancy | Single-tenant, isolated | Shared with other customers |
| Infrastructure | Your cloud, on-prem, or ours | Provider's shared cloud |
| Data boundary | Dedicated, inspectable | Shared, opaque |
| GPU resources | Dedicated, no noisy neighbors | Shared, rate-limited |
| Compliance posture | Maps to your controls | Provider's terms |
FAQ
What does single-tenant mean for Riven deployments?
Each deployment runs on dedicated infrastructure isolated from other customers, so your data, models, and traffic never share compute or storage with another tenant.
Can I run Riven on my own infrastructure?
Yes. Riven supports self-hosted deployments on your cloud account, your on-premises GPUs, or Riven-managed infrastructure.
Which models can a self-hosted deployment serve?
A self-hosted deployment can serve 20+ frontier models, including GPT-5.6, Claude, Gemini, GLM, and Kimi, through a single OpenAI-compatible endpoint.
Is self-hosting required to use Riven?
No. Riven's cloud chat app and pay-as-you-go API are available without self-hosting. Self-hosted, single-tenant deployments are offered for enterprises that need control and compliance.