HAMi vs NVIDIA Mission Control
HAMi
project-hami.io
NVIDIA Mission Control
nvidia.comSide by side
| Figure | HAMi | NVIDIA Mission Control |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · GPU Cluster Management Software | 8.3 (#5) | 7.2 (#15) |
| Deployment | The quick start installs HAMi with Helm and requires Kubernetes, Helm, kubectl, and installation permissions. | The 2.3 release adds an option for a virtualized control plane and deployment in air-gapped environments. |
| Monitoring | HAMi provides allocation counts and spread plus real-time GPU memory and core utilization visibility. | The product includes health checks and ready-to-use Grafana dashboards for visibility into workload uptime, cluster infrastructure and facilities. |
| Purpose | HAMi is open-source, cloud-native GPU virtualization middleware for sharing, isolating, and scheduling heterogeneous accelerators on Kubernetes. | 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. |
| Support | The site links to documentation, tutorials, Discord and the `#hami-dev` Slack channel for community resources. | NVIDIA directs Mission Control customers to NVIDIA Enterprise Support Services for expert support and guidance. |
Plans
In their own words
HAMi
HAMi is open-source middleware for sharing and scheduling GPUs and other accelerators among AI workloads on Kubernetes. Workloads can request GPU memory and core limits through Kubernetes resource controls. Scheduling options include binpack, spread and numa-first, with binpack and spread available at node or GPU scope. The supported-device list spans NVIDIA, AMD, AWS Neuron, Huawei Ascend, Cambricon, Enflame, Hygon, Iluvatar, Kunlunxin, MetaX, Moore Threads, Vastai and Biren; isolation and partitioning capabilities vary by device. HAMi works with Kubernetes APIs, DRA and CDI, and documents scheduling integrations including Volcano, Kueue, Koordinator and NVIDIA KAI Scheduler. Its node metrics endpoint exposes device memory and core utilization for Prometheus. Classic HAMi requires Kubernetes v1.23 or later. HAMi-DRA requires Kubernetes v1.34 or later, the DRA Consumable Capacity feature gate, CDI and NVIDIA driver 440 or later. NVIDIA limits use user-space library interception, which does not cover applications that bypass CUDA. Enforcement is described as soft and best-effort; the FAQ recommends MIG when hardware-enforced isolation is required.
NVIDIA Mission Control
NVIDIA Mission Control has no write-up on Specifiction yet; its figures are above.