Device supported by HAMi

The table below lists the devices supported by HAMi:

This matrix reflects HAMi v2.9.0, the latest released version.

Type	Manufacturer	Models	Status	MemoryIsolation	CoreIsolation	MultiCard Support
GPU	NVIDIA	All	Stable	Yes	Yes	Yes
MLU	Cambricon	370, 590	Stable	Yes	Yes	No
DCU	Hygon	All	Stable	Yes	Yes	No
NPU	Huawei Ascend	910B, 910B3, 910C, 310P	Stable	Yes	Yes	No
GPU	Iluvatar	All	Stable	Yes	Yes	No
GPU	Mthreads	MTT S4000	Stable	Yes	Yes	No
GPU	MetaX	MXC500	Stable	Yes	Yes	No
GCU	Enflame	S60	Stable	Yes	Yes	No
XPU	Kunlunxin	P800	Stable	Yes	Yes	No
GPU	Vastai	VA16	Stable	Yes	Yes	No
Neuron	AWS	Inf, Trn	Stable	No	No	Yes
GPU	Biren	Biren166M	Stable	Yes	Yes	No
DPU	Teco	Checking	Under Validation	No	No	No

Support status:

• Stable - Available in the latest released HAMi version.
• Experimental - Implemented in HAMi but not yet included in a released version.
• Under Validation - Support is still being implemented; not yet functional.

Capability columns:

• MemoryIsolation - Whether HAMi enforces a hard VRAM limit per container: workloads that exceed their requested memory are rejected instead of drawing on the full physical device memory.
• CoreIsolation - Whether HAMi enforces a hard compute usage limit per container: kernel execution is throttled to stay within the requested share instead of using the physical device's compute freely.
• MultiCard Support - Whether a single Pod can request and be scheduled onto more than one physical card of that type, with HAMi coordinating placement across the selected cards.

Device Guides

Each linked guide covers device-specific setup instructions, configuration notes, and known limitations and constraints; consult it before deploying that device.

• NVIDIA: Allocate device memory to container
• Cambricon: Enable Cambricon MLU Sharing
• Hygon: Enable Hygon DCU sharing
• Huawei Ascend: Enable Huawei Ascend sharing
• Iluvatar: Enable Iluvatar GPU Sharing
• Mthreads: Enable Mthreads GPU sharing
• MetaX: Enable MetaX GPU sharing
• Enflame: Enable Enflame GCU Sharing
• Kunlunxin: Enable Kunlunxin GPU Topology-Aware Scheduling
• Vastai: Enable Vastai Sharing
• AWS Neuron: Enable AWS-Neuron device Sharing
• Biren: Enable Biren Sharing