Full and quantized large language models deployed at the network EDGE to unlock productivity and insight whilst maintaining security and confidentiality for proprietary data

    • Language models deployed on powerful onsite server infrastructure with adequate processing power and storage

    • 100% offline intelligence with the option to connect securely to online data sources, repositories and knowledge bases

    • Low power requirement, local relevance, reduced computational burden, enhanced data security and ultra low latency

    • Fine tuned and deployed with retrieval augmented generation capability to deliver highly efficient domain specific outputs

    • Onsite infrastructure with the ability to leverage offshore GPU resources for complex tasks, achieving efficiency without compromising capability

    • Optimized system performance via intelligent orchestration of tasks based on complexity, urgency and resource availability

    • Secure data management preserved with local processing capability while non-sensitive requirements are transmitted offshore

    • Balances responsiveness with on demand computational power, ensuring efficient use of both local and cloud resources

    • EDGE data center with 100KW to 1MW of capacity and hosted GPUs dedicated to resource intensive processing for specific use cases

    • Enterprise grade physical security including remote video feeds, 24×7×365 uninterrupted power and 100% off grid backup

    • Interconnection to key network services via redundant connectivity paths, providers and technologies

    • Strategically located to serve in close proximity to users for low latency service delivery of high performance compute resources

    • Training

    • Implementation

    • Use case development

    • Onsite support services

Flagship Micro EDGE facility launching Q4 2025