Model Serving
High-Throughput Private Inference, API Gateways & Security
Designing and deploying enterprise-grade sovereign AI inference clusters powered by vLLM, unified LiteLLM Proxy routing, spending controls, and Keycloak SSO/RBAC.
Sovereign Compute for Mission-Critical AI
Building enterprise-grade AI capabilities requires moving beyond fragmented scripts and unvetted commercial SaaS APIs. A dependable system demands a standardized, sovereign technology stack where inference speed, compute costs, and enterprise data privacy operate under full organizational sovereignty.
My Model Serving consulting designs and implements a production-ready, open-source AI platform tailored to the sovereignty, governance, and latency requirements of modern enterprises.
High-Throughput Inference with vLLM
At the core of the compute tier, vLLM delivers state-of-the-art throughput and minimal time-to-first-token (TTFT). Utilizing PagedAttention, continuous batching, and tensor parallelism across modern accelerators (NVIDIA/AMD), vLLM serves open models at enterprise scale with sovereign control over weights and proprietary data.
Unified Gateway Governance with LiteLLM & Keycloak
Enterprise integration requires strict operational oversight and secure access:
- LiteLLM Proxy: A centralized API gateway providing model routing, fallback cascades, load balancing, spending caps, and token telemetry across all private and hybrid model endpoints.
- Keycloak: Securing endpoints with industry-standard Single Sign-On (SSO), OpenID Connect (OIDC), and granular Role-Based Access Control (RBAC).
🎯Service Scope & Key Capabilities
This module covers the following targeted topics and key expert competencies:
📦Specifications: Inputs & Deliverables
A clear breakdown of the resource inputs required from your side and the concrete deliverables you will receive as the output of this service module:
Required Client Inputs
To be provided to initiate development
- Target infrastructure environment (on-premise datacenter, sovereign cloud, hybrid VPC)
- Available compute hardware inventory (NVIDIA/AMD GPUs, vCPU, RAM, NVMe storage)
- Enterprise identity provider specifications (LDAP, Active Directory, Okta, SAML/OIDC)
- Target open-source model weights and domain fine-tunes
- Expected concurrent user load, request volume, and latency SLAs
- Corporate security policies, network zoning, and egress restrictions
Guaranteed Deliverables
Outcome packages included in the scope
- Enterprise Sovereign AI Compute Architecture Blueprint & Sizing Matrix
- Turnkey Containerized Deployment Manifests (Docker Compose / Kubernetes / Helm)
- Optimized vLLM Private Inference Engine Configuration
- Hardened LiteLLM Proxy API Gateway with Keycloak SSO & RBAC Integration
- Throughput & Latency Benchmark Performance Audit Report
- Infrastructure-as-Code Runbook & Operational Maintenance Guide
📋Project Plan & Execution Phases
Our Model Serving engineering establishes a resilient, sovereign compute foundation:
Infrastructure & Accelerator Sizing
Evaluating enterprise compute resources, data sovereignty constraints, and sizing GPU clusters (NVIDIA/AMD) alongside container orchestration.
Inference Engine Optimization
Deploying high-throughput vLLM serving with PagedAttention, continuous batching, quantization, and tensor parallelism.
Gateway & Security Hardening
Deploying LiteLLM Proxy with Keycloak OIDC/SSO integration, granular RBAC, model routing, and token spend telemetry.
Verification & Benchmarking
Conducting stress tests, measuring time-to-first-token (TTFT) and token throughput under concurrent enterprise workloads.
Start a Conversation
Write directly to request an inquiry about the Model Serving module or custom bundle options.
Contact & Booking Inquiry
Send an email request to
georg.hackenberg@fh-wels.at
Typically responding within 2 business days.
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