InferiaLLM is an operating system for running LLM inference in-house at scale. It provides everything required to take a raw LLM and serve it to real users: user management, inference proxying, scheduling, policy enforcement, routing, and compute orchestration - as one system.
Need Private, In-House
LLM Infrastructure?
We work directly with teams deploying InferiaLLM for regulated and sensitive environments.
Deploy on any Infrastructure
SELF-HOSTED · CLOUD-AGNOSTIC · PROVIDER-NEUTRAL
InferiaLLM In
Action.
See how InferiaLLM consolidates deployment, security, routing, and governance into a single authoritative control plane-going from raw model to production API in minutes.
The Problem.
To serve models in production, teams are forced to build a massive internal platform from scratch.
What InferiaLLM Is.
The Operating System for LLM inference. It sits between users and compute, owning the lifecycle.
Qwen3-Coder
AWS (us-east-1)Mixtral-8x7b
Nosana (DePIN)DeepSeek-V3
GCP (europe-west)Execution &
Compute.
InferiaLLM runs inference across private infrastructure. The OS schedules and routes execution so applications never manage compute directly.
How Developers
Use Inferia.
Framework-level integration with no fluff. InferiaLLM becomes the single entry point for your entire inference stack.
Register
Register users and applications. InferiaLLM becomes the single entry point for all inference traffic.
Define Rules
Define execution rules: configure who can use which models, set resource limits, and enforce security policies.
Attach Compute
Attach models and compute backends (Kubernetes, On-prem, Cloud). The OS handles scheduling and routing automatically.
Serve Users
Serve real users immediately. Inference execution, resource tracking, and audit logging happen automatically.
Who is this
For?
InferiaLLM is used to run secure, private LLM inference in-house at scale.
Law Firms
Running confidential AI workflows. Legal data never leaves the firm's private VPC, ensuring client privilege is maintained while leveraging LLM capabilities for contract review.
Healthcare & Medical
Processing sensitive patient data (HIPAA). InferiaLLM allows hospitals to run diagnostic and summary models on-premise without sending PII to public API providers.
Financial Institutions
Deploying regulated AI systems. Banks use InferiaLLM to govern trading bots and customer analysis tools with strict audit logs and guaranteed data sovereignty.
Enterprises
Replacing internal LLM platforms. Instead of building a custom API gateway, teams deploy InferiaLLM as a ready-made OS to manage thousands of internal users and apps.
Sovereign Entities
Organizations that cannot send data to public AI services due to national security or strict compliance requirements.
Need Private, In-House
LLM Infrastructure?
We work directly with teams deploying InferiaLLM for regulated and sensitive environments.