Enterprise AI Hardware

NVIDIA DGX Spark: Private AI Infrastructure

Enterprise-grade AI without enterprise costs

Our NVIDIA DGX Spark systems provide the computational power to fine-tune 70B+ parameter models locally in Kamloops. Your data never leaves our secure infrastructure.

Technical Specifications

Built for large-scale model training and inference

GPU Architecture

  • NVIDIA Grace Blackwell Architecture

    Latest generation AI-optimized GPU design

  • 120GB+ Unified Memory

    Handle massive datasets without memory constraints

  • FP4/FP8/FP16 Precision

    Flexible quantization for optimal performance

  • Sub-millisecond Latency

    Real-time inference for production workloads

Model Capacity

  • Fine-tune 70B+ Parameter Models

    Llama 3 70B, Mixtral, DeepSeek, and larger

  • 120GB+ Dataset Support

    Train on massive proprietary datasets locally

  • Multi-Model Deployment

    Run multiple models simultaneously

  • Batch Processing

    High-throughput inference for production

Data Sovereignty Features

Your data never leaves your control

100% On-Premises

No cloud dependencies. Your compute stays in Kamloops with full physical control.

VPN-Secured Access

Private VPN tunnel ensures your data never touches the public internet.

HIPAA/SOC2 Compliant

Infrastructure meets strict compliance requirements for healthcare and finance.

Perfect For

Healthcare & Medical Research

Train AI models on patient data without HIPAA violations. Perfect for medical imaging, diagnosis assistance, and clinical research.

Legal & Financial Services

Process confidential documents and transactions with complete privacy. Ideal for contract analysis and fraud detection.

Defense & Government

Handle classified data with air-gapped deployment options. Meets strict security requirements for sensitive operations.

Research Institutions

Train large models on proprietary research data. 120GB+ capacity handles massive academic datasets.

Ready to Deploy Private AI?

Schedule a consultation to discuss your infrastructure requirements.