Managed Private Cloud

On-Premises or on the Edge

Empower your organization with complete control and AI-ready cloud
capabilities through a secure, scalable private platform that keeps
sensitive information where it belongs. With You.

For Business Critical Objectives

Flexible Deployment

Deploy across on-premises and edge locations while maintaining centralized control. Our dual deployment model enables organizations to choose the optimal environment for their specific needs, from data center operations to distributed edge computing.

Edge Computing Solutions

Built for distributed operations requiring local processing capabilities. Seamlessly manage and update your applications across manufacturing facilities and remote operation sites, enabling efficient local processing in airgapped and distributed environments. Ideal for IoT implementations, edge analytics, and remote operations that demand low-latency processing and local data handling.

On-Premises Cloud Platform

A complete private cloud solution designed for centralized data center operations. The platform enables advanced workflows on critical data while ensuring complete data sovereignty. Maximizes existing infrastructure investments through a unified environment for both cloud-native and traditional applications, with built-in support for high-performance computing workloads through advanced networking capabilities and custom accelerators.

AI/ML Workload Acceleration

CORESPEQ MI accelerates AI and machine learning development through a comprehensive suite of preconfigured AI/ML endpoints.
To maximize AI/ML performance, the platform offers flexible GPU resource management through multiple sharing paradigms including exclusive access, virtual GPUs, and Multi-Process Service (MPS).

High Performance Computing Workloads

The platform supports advanced computing requirements through customizable infrastructure features. High-Speed Networking with VFs/SRIOV and RoCE enables maximum throughput for data-intensive workloads, while Device Passthrough to VMs ensures optimal hardware utilization. Specialized processing needs are met through the integration of Custom Accelerators.

Application Here, GPU Anywhere

Addresses the rising costs and availability challenges of GPU resources in AI development through flexible GPU bursting capabilities. Organizations can optimize infrastructure investments by dynamically allocating GPU resources where and when they are needed, ensuring cost-effective scaling of AI workloads.