Delivering AI Factory Expertise to Everyone
NVIDIA Mission Control™ powers every aspect of AI factory operations — from developer workloads to infrastructure to facilities — in a single management platform. By deeply integrating full-stack cluster management, autonomous recovery engines, and dynamic workload orchestration, NVIDIA Mission Control lets every enterprise run AI with hyperscale-grade efficiency.
When combined with GIGABYTE's NVIDIA-certified systems, enterprises can significantly shorten generative AI deployment cycles and confidently drive data center modernization. Ensuring that all available compute power translates into actual ROI.
Monitoring and Management
NVIDIA Mission Control and Autonomous Hardware Recovery
The dashboard for hardware recovery in NVIDIA Mission Control offers a comprehensive visualization interface for monitoring health check alerts and customizing the built-in runbooks for cluster resiliency. It provides real-time visibility into the status of control, compute, and switch nodes within an automated operational framework. By tracking automated remediation cycles and failure logs, the dashboard enables users to effortlessly monitor overall cluster health, pinpoint anomalies, and verify resource readiness with precision.
Extensive Monitoring with Integrated, Pre-built Grafana Dashboards
Preconfigured dashboards for NVIDIA GB200 NVL72 use cases:
- GPU performance and utilization metrics
- NVLINK Switch performance metrics
- Cooling Distribution Unit (CDU) status monitoring
- Rack liquid leak cooling status monitoring
- Workload distribution and resource allocation
- Network fabric health and throughput
Applications
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Large-Scale LLM Training
For training tasks involving tens of billions of parameters, NVIDIA Mission Control's automated checkpoint recovery ensures that training runs lasting several weeks are not derailed by a single hardware failure, safeguarding GIGAPOD's productivity.
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Enterprise AI R&D Center
Solve the pain point of multiple R&D teams competing for compute power. Through smart scheduling, GIGAPOD supports development and testing during the day and automatically switches to large-scale model training at night.
