Skip to content
EnTelegent SolutionsGPCN

USE CASES

Start With the Workload

The right infrastructure decision begins with what the workload needs to do.

Explore where GPCN private CPU, GPU and storage may fit across infrastructure modernization, AI, recovery, data-intensive applications and distributed enterprise environments.

Professional using a laptop in a data center

COMMON STARTING POINTS

Where GPCN Fits

GPCN supports a broad range of enterprise workloads, from traditional applications and infrastructure modernization to AI, VDI and data-intensive environments. Across each use case, the value is consistent: dedicated private infrastructure, available on demand, with global reach, greater control and predictable economics.

Infrastructure Modernization

Modernize legacy infrastructure and gain greater flexibility without forcing unnecessary architectural change.

  • Public Cloud Repatriation and Cost Optimization

    Shift appropriate workloads to private infrastructure with predictable consumption pricing and no egress fees.

  • VMware Transition & Modernization

    Move VMware workloads to GPCN’s open-source private cloud network, reducing licensing dependency and vendor lock-in while maintaining the control, performance and flexibility of dedicated private infrastructure.

  • Hybrid & Multi-Cloud Infrastructure

    Extend existing environments with private CPU, GPU and storage while maintaining flexibility across on-premises, private and public cloud.

AI, Data & High-Performance Computing

Dedicated, high-performance infrastructure designed for demanding compute and data-intensive workloads.

  • AI & GPU Infrastructure

    Access dedicated GPU capacity with the supporting CPU, memory and storage required for AI training, inference and accelerated workloads.

  • Data-Intensive Workloads

    Support databases, logging, SIEM, analytics and other data-heavy applications with dedicated compute and high-performance storage.

  • High-Performance Computing (HPC)

    Deploy dedicated CPU, GPU and storage for compute-intensive workloads requiring consistent, non-shared resources.

Enterprise & Distributed Applications

Run critical applications on private infrastructure with consistent performance, control and global reach.

  • Enterprise Applications

    Run persistent and business-critical applications on dedicated private infrastructure with predictable performance and economics.

  • VDI & Distributed Workloads

    Place private compute closer to users for virtual desktops, remote applications and geographically distributed environments.

  • Development & Testing

    Provision dedicated infrastructure on demand for development, testing and temporary project requirements.

Global Expansion & Platform Growth

Extend infrastructure into new markets without having to build, own and operate it yourself.

  • Global Infrastructure Expansion

    Enter new markets or add capacity without the time, capital and complexity of building infrastructure market by market.

  • SaaS & MSP Platforms

    Extend SaaS and managed-service platforms globally without deploying physical infrastructure in every location.

  • M&A & Transitional Infrastructure

    Quickly establish independent infrastructure for acquisitions, divestitures and transitional environments.

  • Infrastructure Capacity & Supply Constraints

    Add capacity on demand when procurement cycles or existing infrastructure cannot keep pace with business requirements.

Resilience, Control & Data Sovereignty

Gain greater control over where infrastructure and data reside and how critical environments are protected.

  • Data Residency & Sovereignty

    Place workloads and data in specific geographic locations to support residency, sovereignty and governance strategies.

  • Isolated Recovery Environments (IRE)

    Establish geographically separated private infrastructure to support recovery and business continuity strategies.

WORKLOAD FIT

Evaluate the Workload Before Choosing the Cloud

The best fit depends on the workload’s technical, geographic, operational and commercial requirements.

  1. Workload

    What does the application actually require?

  2. Location

    Where do the workload and data need to run?

  3. Operating Model

    How should infrastructure be deployed, managed and scaled?

  4. Economics

    What does the complete workload cost to operate?

START WITH ONE WORKLOAD

Bring Us the Infrastructure Question

Start with one workload, one location or one infrastructure challenge. We’ll help evaluate whether GPCN belongs in the conversation.