Hardware & deployment literacy

HPC Systems Enablement.

Modern AI work depends on understanding the compute beneath the interface. This Academy track prepares teams to reason about workstations, servers, accelerators, memory, networking and rack-scale systems before operating advanced AI workflows.

From desktop to rack-scale

Understand the hardware without pretending every user is a data-centre engineer.

The goal is practical literacy: what systems can do, where their limits are, how data moves, how security is maintained, and when specialized infrastructure is needed.

DGX Spark

Local AI development, model experimentation, workstation-class workflows and responsible local inference habits.

Dell Precision-class Workstations

Professional workstation environments, GPU planning, storage, memory and deployment readiness.

GB300-class Compute

High-performance AI acceleration, memory-aware workload planning and enterprise integration considerations.

Servers, Clusters & NVL72

Rack/pod thinking, networking, secure operations, monitoring, cost discipline and sovereign infrastructure planning.

Operator responsibility

Powerful compute changes how teams should think.

Participants learn to connect workflow design with compute reality: throughput, memory, latency, privacy, governance, energy, cost and human oversight.