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Watch a technical presentation exploring Memory Machine AI (MMAI), a software platform revolutionizing GPU resource management for AI workloads. Learn how this solution enables platform engineers, data scientists, developers, and MLOps teams to efficiently request and utilize GPU resources through familiar interfaces like VS Code and Jupyter notebooks. Discover the innovative "GPU surfing" feature that dynamically moves workloads between GPUs using advanced checkpointing technology, ensuring optimal resource utilization without disrupting user workflows. Explore the platform's comprehensive monitoring capabilities, including real-time telemetry, departmental billing, and prioritized job execution across both on-premises and cloud deployments. Understand how MMAI supports multiple GPU vendors and orchestration systems while abstracting infrastructure complexities, making advanced GPU resource management accessible to organizations of all sizes. Gain insights into the future of AI-driven scheduling and optimization based on collected telemetry data, presented by Steve Scargall, Director of Product Management at MemVerge.
Syllabus
MemVerge Memory Machine AI GPU-as-a-Service
Taught by
Tech Field Day