Difference between revisions of "Documentation/Labs/GPU Virtualization"
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* The new Nvidia VGX platform is notable for allowing multiple users to share a GPU on their virtual desktops. | * The new Nvidia VGX platform is notable for allowing multiple users to share a GPU on their virtual desktops. | ||
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Huang said during the keynote that Nvidia had been working on this GPU virtualization solution for five years. The VGX platform enables every virtual machine to have a GPU | Huang said during the keynote that Nvidia had been working on this GPU virtualization solution for five years. The VGX platform enables every virtual machine to have a GPU | ||
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While he noted that putting a GPU into a virtual machine isn't new, what is new is the ability to share that GPU with multiple virtual machines. | While he noted that putting a GPU into a virtual machine isn't new, what is new is the ability to share that GPU with multiple virtual machines. | ||
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Source: http://redmondmag.com/articles/2012/05/17/nvidia-unveils-virtualized-gpu-supporting-multiple-users.aspx | Source: http://redmondmag.com/articles/2012/05/17/nvidia-unveils-virtualized-gpu-supporting-multiple-users.aspx | ||
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* GPU Virtualization on VMware’s Hosted I/O Architecture | * GPU Virtualization on VMware’s Hosted I/O Architecture | ||
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GPUs pose a unique challenge in the field of virtualiza- tion. Machine virtualization multiplexes physical hardware by presenting each VM with a virtual device and combin- ing their respective operations in the hypervisor platform in a way that utilizes native hardware while preserving the illusion that each guest has a complete stand-alone de- vice. Graphics processors are extremely complicated devices. | GPUs pose a unique challenge in the field of virtualiza- tion. Machine virtualization multiplexes physical hardware by presenting each VM with a virtual device and combin- ing their respective operations in the hypervisor platform in a way that utilizes native hardware while preserving the illusion that each guest has a complete stand-alone de- vice. Graphics processors are extremely complicated devices. | ||
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primary approach paravirtualizes: it delivers an idealized software-only GPU and our own custom graphics driver for interfacing with the guest operating system | primary approach paravirtualizes: it delivers an idealized software-only GPU and our own custom graphics driver for interfacing with the guest operating system | ||
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Source: http://graphics.stanford.edu/~yoel/notes/gpu-osr.pdf | Source: http://graphics.stanford.edu/~yoel/notes/gpu-osr.pdf | ||
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Latest revision as of 20:02, 8 February 2013
Home < Documentation < Labs < GPU VirtualizationThis page list information I found while trying to answer the question: "Can multiple virtual machins share a single GPU?"
- The new Nvidia VGX platform is notable for allowing multiple users to share a GPU on their virtual desktops.
[...] Huang said during the keynote that Nvidia had been working on this GPU virtualization solution for five years. The VGX platform enables every virtual machine to have a GPU [...] While he noted that putting a GPU into a virtual machine isn't new, what is new is the ability to share that GPU with multiple virtual machines. [...]
- GPU Virtualization on VMware’s Hosted I/O Architecture
[...] GPUs pose a unique challenge in the field of virtualiza- tion. Machine virtualization multiplexes physical hardware by presenting each VM with a virtual device and combin- ing their respective operations in the hypervisor platform in a way that utilizes native hardware while preserving the illusion that each guest has a complete stand-alone de- vice. Graphics processors are extremely complicated devices. [...] Thus, it is nearly intractable to provide a virtual device corresponding to a real modern GPU. Even starting with a complete implementation, updating it for each new GPU generation would be prohibitively laborious. Thus, rather than modeling a complete modern GPU, VMware’s primary approach paravirtualizes: it delivers an idealized software-only GPU and our own custom graphics driver for interfacing with the guest operating system [...]
Source: http://graphics.stanford.edu/~yoel/notes/gpu-osr.pdf
