Compute Engine Future Reservations & Calendar-Mode Feasibility

The compute-future-reservations skill assesses future capacity availability and feasibility for high-demand AI/ML hardware (NVIDIA GPUs, H4D VMs, and Google Cloud TPUs). It enables infrastructure engineers to evaluate future reservation windows, match cluster topologies, and manage calendar-mode bookings.

[!NOTE] Scope Boundary (Calendar Mode vs. Standard Future Reservations): This skill covers Calendar-Mode Future Reservations (--reservation-mode=CALENDAR, backed by Dynamic Workload Scheduler for up to 90 days on supported families such as a3*, a4*, h4d*, and Cloud TPUs; for newly released machine series, verify Calendar Mode support dynamically via gcloud compute advice calendar-mode or the official Calendar Mode documentation). Do not apply Calendar-Mode flags (--reservation-mode=CALENDAR, --deployment-type=DENSE) to Standard Future Reservations (--reservation-mode=DEFAULT for general-purpose CPU families, a2*/g2* GPUs, DRAFT planning workflows, or multi-month/CUD commitments).

Usage Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read and follow the instructions in Usage Attribution.

Prerequisites, IAM & Billing

Before querying calendar-mode advice or submitting future reservation requests, ensure the environment meets these requirements: