Inferia LLM

Why Inferia LLM

Enterprises deploying LLMs face a fundamental tension: the most capable models require substantial operational infrastructure, yet most inference platforms assume unlimited internet access and treat security as an afterthought. Inferia LLM was built to resolve this tension — delivering the operational maturity of a cloud service within the security perimeter of your own data center.

Whether your team operates in a regulated financial environment, a classified government network, or simply demands complete control over sensitive intellectual property, Inferia LLM provides a production-grade foundation without compromise. Every component is designed for the constraints of real enterprise deployments: air-gapped registries, internal PKI, compliance-driven audit requirements, and hardware heterogeneity.

Beyond security, Inferia LLM addresses the operational complexity that teams discover after initial model deployment. Managing model lifecycles, routing traffic intelligently across replicas, enforcing per-team quotas, and correlating performance regressions back to specific model versions — these are the problems that turn proof-of-concepts into production incidents. Inferia LLM solves them before they become your problem.

Architecture

Inferia LLM is built on a layered architecture that separates concerns cleanly: the serving layer handles model execution via vLLM, providing continuous batching and PagedAttention for maximum GPU utilization; the proxy layer sits in front of all serving nodes, handling request routing, authentication, rate limiting, and audit logging; and the control plane manages cluster state, model lifecycle, and user provisioning through a declarative API.

The platform ships as a Helm chart targeting Kubernetes 1.26+, with optional Terraform modules for full infrastructure provisioning on AWS, GCP, Azure, or bare-metal. All container images are published to a single OCI-compliant registry bundle that can be imported into air-gapped environments without modification, ensuring that deployment in isolated networks is a first-class — not an afterthought — capability.

Feature Deep-Dives

Air-Gapped Deployment

Inferia LLM is the only inference platform designed from the ground up for air-gapped operation. The installation bundle includes all container images, Helm charts, and model weight shards in a single tarball that can be transferred via secure media. Internal certificate authority integration means no external PKI dependencies, and the control plane operates fully offline after initial license activation via a hardware token or pre-provisioned JWT.

Multi-Model Serving

The serving layer supports simultaneous deployment of multiple model families on shared GPU infrastructure. Inferia’s GPU bin-packing scheduler assigns replicas to nodes based on VRAM requirements, NUMA topology, and current utilization, maximizing hardware ROI without manual tuning. Tensor parallelism across up to 8 GPUs per model is configured declaratively, and models can be loaded, swapped, or retired without restarting the proxy layer.

Enterprise Authentication

Authentication integrates with your existing identity infrastructure via LDAP, SAML 2.0, and OIDC. API keys are issued per-user or per-application and carry embedded permission scopes validated at the proxy layer before requests reach the serving backend. Role-based access control allows administrators to restrict model access by team, enforce per-key rate limits, and configure automatic key rotation policies aligned with your security baseline.

Real-Time Monitoring

Every inference request generates structured telemetry: latency breakdowns (queue time, prefill time, decode time), token throughput, cache hit rates, and hardware utilization per GPU. Pre-built Grafana dashboards surface these metrics in real time, and configurable alerting rules fire on SLO breaches. Long-term retention is handled by a configurable Prometheus remote write integration, keeping hot metrics local while archiving cold data to your TSDB of choice.

OpenAI-Compatible API

Inferia LLM exposes a fully OpenAI-compatible REST API, covering chat completions, legacy completions, and embeddings endpoints. Any application built against the OpenAI SDK works against Inferia LLM without code changes — simply swap the base URL and API key. Streaming is supported via server-sent events using the same delta format, and function calling / tool use is available for models that support it, with schema validation enforced at the proxy layer to prevent malformed requests from reaching the backend.