Software Foundations
Marbles concepts, workflows, context discipline, source grounding, knowledge graphs, operator prompting and high-volume thinking.
Build AI confidence and skills
Training first. Access second.
The Academy exists to help individuals and organizations use powerful AI systems wisely, effectively and ethically. Completion of required training sets is the pathway into early access consideration.
Governance & Ethics
Human-in-the-loop escalation, auditability, identity-scoped access, refusal discipline, privacy and policy-bound usage.
HPC & Deployment Literacy
How AI workloads behave across local devices, workstations, servers, clusters, GB300-class systems and rack-scale infrastructure.
Use With Judgment
Operators learn when to automate, when to verify, when to stop, and when to involve accountable human decision-makers.
Prerequisite sequence
From Academy to licensed early access.
1. Orientation
Understand Marbles, responsible AI, bulk thinking and institutional operating discipline.
2. Software Track
Learn workflows, knowledge structures, agents, evaluation and governance controls.
3. Hardware Track
Build literacy across DGX Spark, Dell Precision-class workstations, GB300-class compute, servers, clusters and NVL72 rack/pod environments.
4. Readiness Review
Confirm training completion, intended use, safety expectations and support needs.
5. Waitlist
Qualified participants may join the Marbles early-access queue.
Why this matters
A freightliner requires more preparation than a car.
Marbles is designed for thinking in bulk—coordinating more context, knowledge, workflows and decisions than ordinary tools. That power only creates value when the operator understands the system, the hardware environment and the ethical boundaries.