Webinar

Inside SK Telecom’s Sovereign AI Cloud: Practical Insights for Scalable AI Infrastructure

Traditional AI infrastructure built on bare-metal environments often takes days or even weeks to provision new workloads — a major bottleneck for developers and enterprises. South Korea's leading telecommunications and technology provider has removed that delay by deploying a virtualized AI infrastructure stack, Petasus AI Cloud, integrated with VAST Data. This solution can spin up GPU environments in as little as 10 minutes while preserving near-bare-metal performance and meeting sovereign-grade data controls. 

Crucially, Petasus AI Cloud with VAST Data provides end-to-end virtualization across AI compute, network, and storage, enabling strict resource isolation per tenant, ensuring each tenant receives fully isolated resources and control planes. That tenant isolation strengthens the security posture, simplifies compliance, and enables AI model training to run with stronger data protection — reducing the risks of cross-tenant leakage and allowing for safer handling of sensitive datasets during both training and inference. 

Watch this VAST Live to learn how SKT designed an AI-native virtual infrastructure to accelerate provisioning, simplify AI data pipelines, and support national-scale training and inference workloads. We cover architecture, operational lessons learned, security and isolation patterns, performance trade-offs, and practical guidance for teams and policymakers evaluating sovereign AI strategies.

 What you will learn:

  • How sovereign cloud strategies impact national and enterprise AI governance and compliance

  • Architecture and implementation details of Petasus AI Cloud integrated with VAST - including how rapid GPU provisioning is achieved

  • How end-to-end virtualization enables per-tenant isolation (compute, network, storage) and strengthens data security for AI model training

  • When a sovereign GPU-as-a-service (GPUaaS) model is preferable to relying on global hyperscalers

  • The role of AI operating systems and orchestration in next-generation AI infrastructure

  • Best practices for designing secure, scalable AI environments and preparing for future AI-native cloud trends

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