GLOBAL LINK
DEDICATED GPU PODS FOR AI WORKLOADS
Non-shared, reserved GPU capacity for regulated, performance-critical workloads.

ABOUT US
Global Link provides dedicated AI GPU capacity for organizations that require predictable performance, stable pricing, and controlled deployment.This model ensures predictable, isolated compute environments for sensitive, regulated workloads where shared cloud variability poses operational risk.GPU pods are hosted within high-density, AI-ready colocation facilities with enterprise-grade power, cooling, and network infrastructure.Capacity is intentionally deployed in controlled phases to maintain SLA integrity and delivery certainty, enabling clients to secure dedicated compute without the volatility of shared cloud GPU services.Deployments are governed through structured capacity allocation, operational controls, and infrastructure oversight frameworks designed to support secure, reliable AI development and production workloads.

How It Works
1. Capacity Reservation — a simple LOI confirms intent, pricing certainty, and terms, locking availability before buildout.2. Dedicated Pod Allocation — discrete resources reserved, eliminating performance contention.3. Colocation Delivery — hardware hosted in enterprise-tier facilities with redundant power and networking.4. Provisioning & Onboarding — scheduled delivery windows with clear milestones for resource activation.5. Predictable Commercial Terms — fixed pricing and defined delivery windows replace cloud cost volatility.

WHY THIS MODEL
• Guaranteed GPU availability — capacity is reserved and not subject to shared-environment contention.• Predictable pricing — commercial terms are defined in advance, avoiding usage-based cost variability.• Enterprise-grade infrastructure — hosted in facilities designed for high-uptime, security, and compliance-ready operations.• Suitable for research and production — environments support pilot workloads through controlled production deployment without architectural changes.• No infrastructure ownership burden — clients consume dedicated capacity without managing hardware lifecycle or facilities operations.

CONTACT
Organizations requiring guaranteed GPU capacity with predictable terms may request discussion regarding pilot access or reservation availability.Contact: [email protected]