Managed GPU Hosting
XGSC delivers a fully supported Managed GPU environment for organizations running private AI workloads. We deploy and manage your Large Language Models using the Ollama framework, ensuring stability, security, and performance as your AI capabilities evolve.
Our infrastructure is built to support Retrieval Augmented Generation, vector databases, and optional graph database integration, allowing your AI systems to operate with 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
Expert AI Support
Choose the level of expert involvement that matches your needs. Our team helps you move from planning to implementation of AI system design.
- RAG design and training, ingestion workflows and retrieval strategies.
- Embedding strategy and vector database tuning for search quality and speed
- Integrating AI systems into robotic process automation
- Support, tuning, and continuous improvements for model performance and retrieval quality
- Architecture, multi-system integrations, and custom AI workflow design
Models Available (Ollama Environment)
Models may evolve as new releases and optimizations become available.
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 with 20 Core Arm CPU, 128GB LPDDR5, 4TB NVMe, and 10GbE networking.