Managed GPU Hosting

Fully supported private AI infrastructure — deploy, manage, and scale your AI workloads with XGSC.

Private AI. Fully Managed.

XGSC delivers a fully supported Managed GPU environment for organizations running private AI workloads using the Ollama framework.

Our infrastructure supports Retrieval Augmented Generation (RAG), vector databases, and optional graph database integration — giving your AI systems structured memory, contextual awareness, and reliable execution.

What You Get

  • Managed private LLM deployment
  • Ollama-based model hosting and lifecycle management
  • RAG implementation and embedding pipelines
  • Vector and graph database support
  • Ongoing optimization and engineering guidance
Talk to an AI Expert

Enterprise Compute Node

  • Intel 32 Core Processor
  • 128GB RAM
  • 4TB NVMe Storage
  • 1Gbps Internet Connectivity

GPU Options Per Server

  • 1–4 NVIDIA GeForce RTX 5090
  • 1–4 NVIDIA RTX Pro 6000 Blackwell
  • 1–4 AMD Radeon RX 7900 XTX

AI Appliance Option

NVIDIA DGX Spark — 20 Core Arm CPU, 128GB LPDDR5, 4TB NVMe, 10GbE networking.

Expert AI Support

Choose the level of expert involvement that matches your needs. Our team moves you from planning to production.

RAG Design & Training

RAG design, ingestion workflows, and retrieval strategies tailored to your data and AI objectives.

Vector DB Tuning

Embedding strategy and vector database tuning for optimal search quality and retrieval speed.

AI & RPA Integration

Integrating AI systems into robotic process automation to streamline workflows and drive operational efficiency.

Continuous Optimization

Ongoing support, tuning, and continuous improvements for model performance, retrieval quality, and system stability.