Private AI Factory (Managed)
Production LLM inference, RAG, ML pipelines, and agent workflows on your infrastructure
Deploy private AI with vLLM, Kubeflow, Slurm, LangGraph, Milvus, OpenWebUI, Feast, Spark, and Kafka. SLA-driven enterprise support with governance, observability, and predictable operations.
Core Capabilities
Enterprise AI platform components
Inference & Serving
High-throughput vLLM inference, model versioning, and GPU governance for production deployments
Orchestration & Workflows
Kubeflow ML workflows, Slurm batch scheduling, and LangGraph agent orchestration
Retrieval & Vector Search
Milvus vector database, RAG pipelines, and evaluation hooks for knowledge systems
Data & Streaming
Spark batch computing, Kafka event pipelines, and Feast feature store integration
User Experience
OpenWebUI with team workspaces, access controls, and customizable interfaces
Observability & Operations
Grafana dashboards, Zabbix monitoring, OpenSearch analytics, and production runbooks
Engagement Path
From blueprint to production AI
AI Factory Blueprint
1-2 weeks
Use cases, architecture, security, sizing, pilot milestones
Pilot
4-6 weeks
Working inference, RAG, pipelines with 1-2 priority use cases
Production Rollout
6-12 weeks
Hardening, governance, scale-out, HA patterns
Managed Operations
Ongoing
SLA-backed support, upgrades, reliability tuning
Key Use Cases
What you can build with Private AI Factory
Request an AI Factory Blueprint
Validate architecture, security, sizing, and get a pilot plan with SLA-backed managed operations for your private AI platform.
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