Vmware, Inc.

Nidhin Urmese

Akshay Bhandari

Muralidhara Gupta

In one set of embodiments, a computer system can receive a request to provision a virtual machine (VM) in a host cluster, where the VM is associated with a virtual graphics processing unit (GPU) profile indicating a desired or required framebuffer memory size of a virtual GPU of the VM. In response, the computer system can execute an algorithm that identifies, from among a plurality of physical GPUs installed in the host cluster, a physical GPU on which the VM may be placed, where the identified physical GPU has sufficient free framebuffer memory to accommodate the desired or required framebuffer memory size, and where the algorithm allows multiple VMs associated with different virtual GPU profiles to be placed on a single physical GPU in the plurality of physical GPUs. The computer system can then place the VM on the identified physical GPU.

Placing virtual graphics processing unit (GPU)-configured virtual machines on physical GPUs supporting multiple virtual GPU profiles

Disclosed are various examples for platform independent graphics processing unit (GPU) profiles for more efficient utilization of GPU resources. A virtual machine configuration can be identified to include a platform independent graphics computing requirement. Hosts can be identified as available in a computing environment based on the platform independent graphics computing requirement. The virtual machines can be migrated and placed to maximize usage the total memory of GPU resources of the hosts.

Platform independent GPU profiles for more efficient utilization of GPU resources

Disclosed are various examples for platform independent graphics processing unit (GPU) profiles for more efficient utilization of GPU resources. A virtual machine configuration can be identified to include a platform independent graphics computing requirement. Hosts can be identified as available in a computing environment based on the platform independent graphics computing requirement. The virtual machine can be placed on a host based on a consideration of host priority.

Certain aspects of the present disclosure relate to methods and systems for selecting one of a plurality of capacities to provide a service for a client machine in a multi-cloud virtual desktop infrastructure (VDI) system. In certain aspects, a method receiving a request for the service from the client machine, the request indicating a first bandwidth rating associated with the first capacity and a second bandwidth rating associated with the second capacity. The method further includes prioritizing the first capacity over the second capacity based on a first one or more priority parameters associated with the first capacity and a second one or more priority parameters associated with the second capacity. The method further includes indicating a first identifier of the service associated with the first capacity to the client machine, wherein the client machine uses the first identifier to connect to the service at the first capacity.

Prioritizing capacities based on priority parameters

Disclosed are various examples for platform independent graphics processing unit (GPU) profiles for more efficient utilizes of GPU resources. A computing device can identify a platform independent configuration of a virtual machine, such as one made by an administrator, that indicates that a virtual graphics processing unit (vGPU) is to be utilized in execution, where the configuration comprising a graphics computing requirement for the virtual machine. The computing device can identify one or more hosts available in a computing environment to place the virtual machine, where each of the plurality of hosts comprises at least one GPU. The computing device can identify a most suitable one of the hosts to place the virtual machine based at least in part on the graphics computing requirement and whether a preferred graphics card was specified.

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Bengaluru, India

Nidhin Urmese