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NVIDIA Mission Control

NVIDIA Mission Control is an integrated management platform for enterprise AI infrastructure, bringing cluster automation and operational practices into one …

Place
#16 of 21
Score
5.4
NVIDIA Mission Control's website

What NVIDIA Mission Control is

NVIDIA Mission Control is an integrated management platform for enterprise AI infrastructure, bringing cluster automation and operational practices into one control plane. It supports AI factory operations from cluster deployment and workload orchestration through monitoring and autonomous recovery. Its validated software stack supports multi-node scheduling with Slurm and Kubernetes, and includes health checks and Grafana dashboards for workload uptime, infrastructure, and facilities visibility. Facilities integration coordinates power and cooling events, including leakage detection. NVIDIA says the platform can operate at 85% power with 93% performance throughput in constrained environments, and that its recovery engine can identify, isolate, and recover from problems 10 times faster without manual intervention. The purchase includes Base Command Manager, Run:ai, Unified Fabric Manager, and NetQ as integrated software licensing. Mission Control is self-hosted, with a virtualized control plane and air-gapped deployment options added in version 2.3. Pricing is available on request; there is no free plan. NVIDIA Resiliency Extensions are not bundled and must be installed separately.

Good

  • Supports multi-node scheduling with Slurm and Kubernetes.
  • Includes health checks and Grafana dashboards.
  • Coordinates power and cooling with facilities systems.
  • Offers virtualized and air-gapped deployment options.

Watch out

  • Pricing is available on request.
  • No free plan.
  • NVIDIA Resiliency Extensions must be installed separately.

Who it suits

NVIDIA Mission Control is intended for enterprise AI infrastructure teams, AI architects, and HPC operators managing AI factories. It is relevant to organizations using Slurm or Kubernetes for multi-node scheduling.

Verdict

Mission Control combines AI infrastructure operations, workload scheduling, monitoring, and recovery in a self-hosted platform. Teams should account for its on-request pricing and the separate installation required for NVIDIA Resiliency Extensions.

Plans and prices

From NVIDIA Mission Control's own pricing page, checked 4 Oct 2026.

All about pricing
PlanPriceWhat it gives you
NVIDIA Mission ControlPriced on requestPurchase through NVIDIA sales or an authorized enterprise partner; license entitlement is required for access to Mission Control artifacts

The facts

Each one read from NVIDIA Mission Control's own pages, with the date it was checked.

What it does

Deployment
The 2.3 release adds an option for a virtualized control plane and deployment in air-gapped environments.checked 4 Oct 2026
Facilities integration
Building management integration coordinates power and cooling events, including leakage detection, with system and data center facilities automation and dashboards.checked 4 Oct 2026
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.checked 4 Oct 2026
Included components
The purchase includes NVIDIA Base Command Manager, NVIDIA Run:ai, NVIDIA Unified Fabric Manager and NVIDIA NetQ as integrated software delivery licensing.checked 4 Oct 2026
Intended users
NVIDIA describes Mission Control for enterprise AI infrastructure, AI architects and HPC operators managing AI factories.checked 4 Oct 2026
Monitoring
The product includes health checks and ready-to-use Grafana dashboards for visibility into workload uptime, cluster infrastructure and facilities.checked 4 Oct 2026
Notable limitation
NVIDIA Resiliency Extensions are not bundled with Mission Control and must be installed separately.checked 4 Oct 2026
Operations
It supports AI factory operations from cluster deployment and workload orchestration through monitoring and autonomous recovery.checked 4 Oct 2026
Power optimization
NVIDIA says it can run at 85% power with 93% performance throughput in power-constrained or cost-conscious environments.checked 4 Oct 2026
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.checked 4 Oct 2026
Recovery
Its autonomous recovery engine identifies, isolates and recovers from problems, and NVIDIA says it can do this 10 times faster without manual intervention.checked 4 Oct 2026
Schedulers
Its validated software stack supports multi-node scheduling with Slurm and Kubernetes.checked 4 Oct 2026
Security
Mission Control offers secure configurations with validated namespace isolation and provides Kubernetes security policy files through its artifact collection.checked 4 Oct 2026
Support
NVIDIA directs Mission Control customers to NVIDIA Enterprise Support Services for expert support and guidance.checked 4 Oct 2026

The company

Founded
1993checked 23 Sep 2026
Headquarters
Santa Clara, California, USAchecked 23 Sep 2026

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