NVIDIA Mission Control

Spec sheet

Purpose

NVIDIA Mission Control is an integrated AI factory management platform for enterprise AI infrastructure that combines cluster automation and operational best practices in one control plane.Read 4 Oct 2026 · docs.nvidia.com

Intended users

NVIDIA describes Mission Control for enterprise AI infrastructure, AI architects and HPC operators managing AI factories.Read 4 Oct 2026 · nvidia.com

Deployment

The 2.3 release adds an option for a virtualized control plane and deployment in air-gapped environments.Read 4 Oct 2026 · nvidia.com

Security

Mission Control offers secure configurations with validated namespace isolation and provides Kubernetes security policy files through its artifact collection.Read 4 Oct 2026 · nvidia.com

Support

NVIDIA directs Mission Control customers to NVIDIA Enterprise Support Services for expert support and guidance.Read 4 Oct 2026 · nvidia.com

Headquarters

Santa Clara, California, USARead 23 Sep 2026 · nvidia.com

Founded

1993Read 23 Sep 2026 · nvidia.com

Facilities integration

Building management integration coordinates power and cooling events, including leakage detection, with system and data center facilities automation and dashboards.Read 4 Oct 2026 · nvidia.com

Hardware support

NVIDIA Mission Control 2.3 supports NVIDIA GB200 NVL72 and GB300 NVL72, and the product page says DGX systems with Blackwell architectures can access its full capabilities.Read 4 Oct 2026 · nvidia.com

Included components

The purchase includes NVIDIA Base Command Manager, NVIDIA Run:ai, NVIDIA Unified Fabric Manager and NVIDIA NetQ as integrated software delivery licensing.Read 4 Oct 2026 · docs.nvidia.com

Monitoring

The product includes health checks and ready-to-use Grafana dashboards for visibility into workload uptime, cluster infrastructure and facilities.Read 4 Oct 2026 · nvidia.com

Notable limitation

NVIDIA Resiliency Extensions are not bundled with Mission Control and must be installed separately.Read 4 Oct 2026 · docs.nvidia.com

Operations

It supports AI factory operations from cluster deployment and workload orchestration through monitoring and autonomous recovery.Read 4 Oct 2026 · nvidia.com

Power optimization

NVIDIA says it can run at 85% power with 93% performance throughput in power-constrained or cost-conscious environments.Read 4 Oct 2026 · nvidia.com

Recovery

Its autonomous recovery engine identifies, isolates and recovers from problems, and NVIDIA says it can do this 10 times faster without manual intervention.Read 4 Oct 2026 · nvidia.com

Schedulers

Its validated software stack supports multi-node scheduling with Slurm and Kubernetes.Read 4 Oct 2026 · nvidia.com

Plans and prices

Every NVIDIA Mission Control plan and price →

Where Specifiction places it

• GPU Cluster Management Software#15 of 217.2