How AI Factories Can Shift-left to Accelerate Infrastructure and Ecosystems Readiness#

Amit Katz (NVIDIA), Harshdeep Banwait (CoreWeave) — Talk, Wednesday, March 18

• Why: Validating the full stack in a network digital twin before hardware arrives directly attacks the build-then-test bottleneck — and bring-up/day-1 readiness is a real pain point in large DC deployments.
• What: A shift-left methodology powered by digital twins across the AI factory lifecycle: CoreWeave's experience using NVIDIA Air to decouple software automation from hardware lead times, and NVIDIA's use of twin environments to let ISVs develop against next-gen platforms without physical hardware. (from abstract only)
• How: Simulation-first: the network and host stack are modeled in NVIDIA Air so automation, cloud software, and partner integrations are validated before the physical infrastructure exists.
• Where applicable: NVIDIA Air tooling with a CoreWeave end-user component; the methodology (pre-hardware network/system validation) generalizes to any large build-out where hardware lead times gate software readiness.