AMD MxGPU
AMD MxGPU is a virtual GPU sharing software that allows multiple virtual machines to share a single physical GPU. It enables higher user density and improved GPU utilization in virtualized environments.
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AMD MxGPU: Virtual GPU Sharing Software for Higher User Density & Improved GPU Utilization
AMD MxGPU is a virtual GPU sharing software that allows multiple virtual machines to share a single physical GPU.
What is AMD MxGPU?
AMD MxGPU (AMD Multiuser GPU) is a software technology developed by AMD that enables multiple virtual machines (VMs) to share a single physical GPU. It allows datacenter and cloud providers to offer virtualized graphics acceleration services and GPU sharing capabilities to their customers.
Some key capabilities and benefits of AMD MxGPU include:
- Improved GPU utilization and sharing - Allows better sharing and utilization of GPU resources across multiple VMs compared to traditional GPU passthrough.
- Increased user density - More virtual desktop users can be supported per GPU, reducing hardware costs.
- Virtual GPU partitioning and isolation - Resources are partitioned and isolated per VM, ensuring guaranteed quality of service.
- Broad ecosystem support - Supported across major hypervisors like VMware, Microsoft Hyper-V, KVM, and XenServer.
- Works with AMD Radeon Pro and AMD Instinct GPUs - Supported on latest AMD GPU hardware and driver stacks.
Overall, AMD MxGPU enables flexible sharing and allocation of AMD GPUs across virtual machines, allowing data centers and cloud platforms to drive up user density, increase infrastructure utilization, and reduce provisioning costs for virtualized graphics and compute workloads.
AMD MxGPU Features
Features
- Allows multiple VMs to share a single physical GPU
- Supports both Windows and Linux VMs
- Compatible with major hypervisors like VMware, Hyper-V, KVM
- Enables GPU virtualization and sharing
- Improves GPU utilization efficiency
- Reduces hardware costs by consolidating GPUs
- Supports both AMD and NVIDIA GPUs
- Provides predictable performance with guaranteed Quality of Service
Pricing
- Free
- Open Source
Pros
Improves GPU utilization and density
Reduces hardware costs
Enables GPU sharing across VMs
Provides good performance for virtualized workloads
Easy to set up and use
Cons
Limited to sharing GPUs within a single server
Does not support live migration of VMs
Performance overhead compared to dedicated GPU
Requires compatible AMD GPUs
Lacks advanced management features
Official Links
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