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Private AI Factory

Deploy private LLM inference, RAG, ML pipelines, and agent workflows – on upstream open source.
Based on vLLM, Kubeflow, Slurm, LangGraph, Milvus, OpenWebUI, Feast, Spark, and Kafka.

Build Private AI on an
Open-Source Platform

XaasIO AI Factory delivers a production-ready private AI platform for enterprises and service providers. Run LLM inference, RAG, and ML pipelines on your infrastructure with end-to-end integration across compute, data, security, and observability – built entirely on upstream open source and delivered as a managed platform by XaasIO.

Accelerate AI Use Cases with Managed AI Services

Avoid the complexity of assembling and operating multiple AI components. XaasIO provides a turnkey AI Factory with architecture, deployment, hardening, and day-2 operations. Launch private AI faster with a clear path from pilot to production – including performance tuning, reliability engineering, monitoring, upgrades, and operational runbooks.

Open, Extensible Stack
No Vendor Lock-In

AI Factory is built on upstream open source, so you retain flexibility and control. The reference stack includes: vLLM for GPU inference, Kubeflow for pipelines and notebooks, Slurm for GPU/batch scheduling, LangGraph for agent orchestration, Milvus for vector search, OpenWebUI for chat UI, Feast for feature management, and Spark + Kafka for batch and streaming data pipelines.

Integrated with XaasIO Web Services

XaasIO AI Factory integrates with XaasIO Web Services (OpenStack, Kubernetes, Ceph, observability, and IAM patterns) so you can operate AI alongside your existing VMs, containers, and data platforms. Get unified monitoring and logs, standardized access control, and consistent operations across environments.

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Further Information

To schedule a workshop or receive a customized architecture proposal for your environment, contact our team.

Use cases with XaasIO AI Factory

Deploy Private LLM Inference and Chat Experiences

Deliver internal and customer-facing AI assistants with secure access controls and private deployment.
Powered by: vLLM + OpenWebUI

Build RAG Applications with Vector Search
Connect AI to enterprise knowledge with semantic retrieval and controlled tool usage for accuracy and traceability. Powered by: Milvus + LangGraph
Create ML Pipelines for Training and Deployment

Standardize experiments, training workflows, and reproducible deployments using production pipeline patterns. Powered by: Kubeflow + Slurm

Enable Feature Engineering and Consistent Serving

Manage features for training and online inference with consistent definitions and reliable serving patterns. Powered by: Feast + Spark

Run Real-Time AI Pipelines with Streaming Data

Ingest and process events for real-time personalization, anomaly detection and alerting use cases.
Powered by: Kafka + Spark

Get in Touch with Our Architecture & Success Team

Evaluate a VMware Exit, scope a hyperscaler repatriation plan, or launch a managed OpenStack/Kubernetes/Data/AI platform.
We’ll propose a practical path to production with clear milestones and managed service options.