You want GPU health, utilization and diagnostics across a cluster. Which NVIDIA tool fits?
Why B is the answer
NVIDIA DCGM
Data Center GPU Manager monitors and manages GPUs at cluster scale.
In detail
- DCGM gives health, utilization and diagnostics across a cluster.
- nvidia-smi shows one host at a time.
Use case
An illustrative scenario, not a real incident.
An operator watches GPU health and utilization across 100 nodes with DCGM.
See it in different ways
flowchart TD A["DCGM"] --> B["Utilization"] A --> C["Memory"] A --> D["Temperature"] A --> E["Power"] A --> F["ECC and Xid errors"]
mindmap
root((Operations))
Monitoring
nvidia-smi
DCGM
Scheduling
Slurm
Kubernetes
Provisioning
Base Command Manager
Sharing
MIG
vGPUflowchart TD
Q{"What is the scope?"}
Q -->|"One host"| A0["nvidia-smi"]
Q -->|"A whole cluster"| A1["NVIDIA DCGM"]Key point: DCGM manages GPUs at cluster scale.
Why the other options are wrong
- A. NVIDIA Canvas
- That is not a monitoring tool.
- C. NVIDIA Omniverse
- Omniverse is for 3D.
- D. NVIDIA Isaac
- Isaac is for robotics.

