• As the demand for AI applications and agents rapidly grows, providing your organization with access to GPU-enabled resources is essential. • This is key to leveraging AI for accelerated business growth and minimizing security risks, particularly by keeping AI workloads within your on-premises VMware Cloud Foundation (VCF) environment. • VCF Automation is the solution that enables your organization to self-service these GPU-enabled resources. • This capability is vital for increasing security, avoiding “shadow IT” costs, and speeding up the development and use of AI across your enterprise. • GPU Reservations support the needs of cloud providers and similar multi-tenant scenarios to reserve GPUs in advance of a tenant using that GPU, ensuring that the reserved GPU capacity is accessible only to that tenant within their namespace. • The same approach can apply within an enterprise where one central IT organization serves vGPU capacity in a pre-reserved way to different departments.
Article Summaries:
- VMware has announced that its Cloud Foundation Automation now supports GPU‑enabled resources, allowing organizations to self‑service GPU capacity for AI workloads within their on‑premises VCF environment. The update introduces GPU reservations, enabling IT to pre‑allocate GPU resources to specific tenants or departments, thereby reducing shadow‑IT costs, tightening security, and accelerating AI development. The release includes a step‑by‑step guide and command‑line scripts for enabling GPU reservations, creating supervisor namespace classes, and configuring resource limits. This capability is aimed at enterprises that need controlled, on‑prem GPU access for accelerated business growth and risk mitigation.
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