Amazon Technologies, Inc.

Nicholas Patrick Wilt

Ashutosh Tambe

John Merrill Phillips

Nathan Lee Burns

Malcolm Featonby

Umesh Chandani

Mihir Sadruddin Surani

Yuxuan Liu

Douglas Cotton Kurtz

Adithya Bhat

Nafea Bshara

Deepak Suryanarayanan

Sheshadri Supreeth Koushik

Kalyanaraman Prasad

Matthew David Klein

Nachiketh Rao Potlapally

Scott Michael Le Grand

Deepak Singh

Kent David Forschmiedt

Paolo Maggi

Andrea Curtoni

Jr John Merrill Phillips

Methods, systems, and computer-readable media for virtualizing graphics processing in a provider network are disclosed. A virtual compute instance is provisioned from a provider network. The provider network comprises a plurality of computing devices configured to implement a plurality of virtual compute instances with multi-tenancy. A virtual GPU is attached to the virtual compute instance. The virtual GPU is implemented using a physical GPU, and the physical GPU is accessible to the virtual compute instance over a network. An application is executed using the virtual GPU on the virtual compute instance. Executing the application generates virtual GPU output that is provided to a client device.

Virtualizing graphics processing in a provider network

A computing system providing virtual computing services may generate and manage remote computing sessions between client devices and virtual desktop instances (workspaces) hosted on the service provider's network. The system may implement a virtual private cloud for a workspaces service that extends out to gateway components in multiple, geographically distributed point of presence (POP) locations. In response to a client request for a virtual desktop session, the service may configure a virtual computing resource instance for the session and establish a secure, reliable, low latency communication channel (over a virtual private network) between the resource instance and a gateway component at a POP location near the client for communication of a two-way interactive video stream for the session. The availability zone containing the POP location may be different than one hosting the resource instance for the session. Client devices may connect to the gateway component over a public network.

Low latency connections to workspaces in a cloud computing environment

Methods, systems, and computer-readable media for placement optimization for virtualized graphics processing are disclosed. A provider network comprises a plurality of instance locations for physical compute instances and a plurality of graphics processing unit (GPU) locations for physical GPUs. A GPU location for a physical GPU or an instance location for a physical compute instance is selected in the provider network. The GPU location or instance location is selected based at least in part on one or more placement criteria. A virtual compute instance with attached virtual GPU is provisioned. The virtual compute instance is implemented using the physical compute instance in the instance location, and the virtual GPU is implemented using the physical GPU in the GPU location. The physical GPU is accessible to the physical compute instance over a network. An application is executed using the virtual GPU on the virtual compute instance.

Placement optimization for virtualized graphics processing

A first remote virtualized graphics device is instantiated in response to a determination that processing of graphics operations is to be enabled in a first availability mode on behalf of a compute instance. A configuration operation is performed at a routing device to enable packets from the first remote virtualized graphics device to be transmitted to a graphics result destination. In response to an indication of unavailability, the routing device is configured to enable packets from a second remote virtualized graphics device to be directed to the graphics result destination.

Availability modes for virtualized graphics processing

Methods, systems, and computer-readable media for dynamic and application-specific virtualized graphics processing are disclosed. Execution of an application is initiated on a virtual compute instance. The virtual compute instance is implemented using a server. One or more graphics processing unit (GPU) requirements associated with the execution of the application are determined. A physical GPU resource is selected from a pool of available physical GPU resources based at least in part on the one or more GPU requirements. A virtual GPU is attached to the virtual compute instance based at least in part on initiation of the execution of the application. The virtual GPU is implemented using the physical GPU resource selected from the pool and accessible to the server over a network.

Dynamic and application-specific virtualized graphics processing

Methods, systems, and computer-readable media for application-specific virtualized graphics processing are disclosed. A virtual compute instance is provisioned from a provider network. The provider network comprises a plurality of computing devices configured to implement a plurality of virtual compute instances with multi-tenancy. A virtual GPU is attached to the virtual compute instance. The virtual GPU is selected based at least in part on requirements of an application. The virtual GPU is implemented using a physical GPU, and the physical GPU is accessible to the virtual compute instance over a network. The application is executed using the virtual GPU on the virtual compute instance.

Application-specific virtualized graphics processing

Methods, systems, and computer-readable media for disaggregated graphics asset management for virtualized graphics are disclosed. A virtual GPU attached to a virtual compute instance is provisioned in a multi-tenant provider network. The virtual compute instance is implemented using a physical compute instance, and the virtual GPU is implemented using a physical GPU. A plurality of graphics assets are added to a graphics asset repository. The graphics assets are associated with corresponding identifiers and access restrictions in the graphics asset repository. One or more graphics instructions are executed on the virtual GPU using one or more graphics assets corresponding to one or more identifiers associated with the graphics instructions. The one or more graphics assets are obtained by the virtual GPU from the graphics asset repository using the one or more identifiers.

Disaggregated graphics asset management for virtualized graphics

Methods, systems, and computer-readable media for graphics overlays with virtualized graphics processing are disclosed. A virtual GPU is attached to a virtual compute instance. The virtual compute instance is implemented using a physical compute instance, and the virtual GPU is implemented using a physical GPU accessible to the physical instance over a network. An application is executed on the virtual compute instance. One or more graphics instructions associated with the application are sent to the virtual GPU. The virtual GPU is used to generate graphical output based (at least in part) on execution of the one or more graphics instructions. A graphics overlay comprising one or more additional graphical elements is added to the graphical output based (at least in part) on execution of one or more additional graphics instructions. The one or more additional graphics instructions are not generated by the execution of the application.

Graphics overlays with virtualized graphics processing

Methods, systems, and computer-readable media for computational task offloading for virtualized graphics are disclosed. A virtual GPU attached to a virtual compute instance is provisioned in a multi-tenant provider network. The virtual compute instance is implemented using a physical compute instance, and the virtual GPU is implemented using a physical GPU. Using a microcode compilation service, program code is compiled into microcode for a target GPU type associated with the virtual GPU. The microcode is executed on the virtual GPU.

Computational task offloading for virtualized graphics

Methods, systems, and computer-readable media for disaggregated graphics asset delivery for virtualized graphics are disclosed. A virtual compute instance with attached virtual GPU is provisioned in a multi-tenant provider network. The virtual compute instance is implemented using a physical compute instance, and the virtual GPU is implemented using a physical GPU. An application comprising identifiers of graphics assets is executed on the virtual compute instance. Executing the application comprises sending graphics instructions and the identifiers from the virtual compute instance to the virtual GPU. The graphics assets are obtained by the virtual GPU from a graphics asset repository using the identifiers. The graphics instructions are executed on the virtual GPU using the graphics assets corresponding to the identifiers.

Growing community of inventors

Mercer Island, WA, United States of America

Nicholas Patrick Wilt