Abstract: Methods, apparatus, systems, and articles of manufacture providing a tiered elastic cloud storage to increase data resiliency are disclosed.

Abstract: In one embodiment, metadata associated with deployment of a container within an orchestration environment includes information indicating security preferences for deployment of the container within the orchestration environment, information indicating a level of communications between the container and other containers, and/or information indicating effects of execution of the container with respect to other containers. The metadata is used to select a particular node of a plurality of nodes within the orchestration environment on which to deploy the container based on the metadata.

Abstract: The present disclosure relates to techniques for determining optimal routing paths for computing devices in a network, including selecting an optimal gateway among a number of available gateways. The techniques include gathering data regarding characteristics of a network, including gateways and network access nodes (NANs) in at least one access network. The characteristics can include, e.g., supported frequency bands, communication protocols, signal-to-noise ratio, power, signal noise and quality, slicing information, and whether a network vender is a standalone network vendor or a non-standalone network vendor. In one aspect, the characteristics are obtained using the Mobile Broadband Interface Model (MBIM). The characteristics can be used by devices in determining routing paths based on requirements of individual flows and/or workflows of individual application instances.

Abstract: A processor of an aspect includes a decode unit to decode an instruction. The instruction is to indicate a destination memory address information. An execution unit is coupled with the decode unit. The execution unit, in response to the decode of the instruction, is to store memory addresses, for at least all initial writes to corresponding data items, which are to occur after the instruction in original program order, to a memory address log. A start of the memory address log is to correspond to the destination memory address information. Other processors, methods, systems, and instructions are also disclosed.

Abstract: Example apparatus to perform service failover as disclosed herein are to detect a failure condition associated with execution of a service by a first compute platform, the execution of the service responsive to a first request. Disclosed example apparatus are also to send a second request to a second compute platform to execute the service. Disclosed example apparatus are further to monitor a queue of the first compute platform for a response to the first request, the response to indicate execution of the service by the first compute platform has completed, and when the response is detected in the queue, discard the response from the queue.

Abstract: Methods, apparatus, systems, and articles of manufacture for networked device testing are disclosed. An example method includes determining an input to be applied to a programmable network device, mutating the input to determine an input variant, applying the input variant to the programmable network device, and in response to determining that the input variant causes the programmable network device to enter an expected state, add the input variant to a test set.

Abstract: There is disclosed an example of an artificial intelligence (AI) system, including: a first hardware platform; a fabric interface configured to communicatively couple the first hardware platform to a second hardware platform; a processor hosted on the first hardware platform and programmed to operate on an AI problem; and a first training accelerator, including: an accelerator hardware; a platform inter-chip link (ICL) configured to communicatively couple the first training accelerator to a second training accelerator on the first hardware platform without aid of the processor; a fabric ICL to communicatively couple the first training accelerator to a third training accelerator on a second hardware platform without aid of the processor; and a system decoder configured to operate the fabric ICL and platform ICL to share data of the accelerator hardware between the first training accelerator and second and third training accelerators without aid of the processor.

Abstract: There is disclosed an example of an artificial intelligence (AI) system, including: a first hardware platform; a fabric interface configured to communicatively couple the first hardware platform to a second hardware platform; a processor hosted on the first hardware platform and programmed to operate on an AI problem; and a first training accelerator, including: an accelerator hardware; a platform inter-chip link (ICL) configured to communicatively couple the first training accelerator to a second training accelerator on the first hardware platform without aid of the processor; a fabric ICL to communicatively couple the first training accelerator to a third training accelerator on a second hardware platform without aid of the processor; and a system decoder configured to operate the fabric ICL and platform ICL to share data of the accelerator hardware between the first training accelerator and second and third training accelerators without aid of the processor.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to aggregate telemetry data in an edge environment. An example apparatus includes at least one processor, and memory including instructions that, when executed, cause the at least one processor to at least generate a composition for an edge service in the edge environment, the composition representative of a first interface to obtain the telemetry data, the telemetry data associated with resources of the edge service and including a performance metric, generate a resource object based on the performance metric, generate a telemetry object based on the performance metric, and generate a telemetry executable based on the composition, the composition including at least one of the resource object or the telemetry object, the telemetry executable to generate the telemetry data in response to the edge service executing a computing task distributed to the edge service based on the telemetry data.

Abstract: Technologies for migrating data between edge accelerators hosted on different edge locations include a device hosted on a present edge location. The device includes one or more processors to: receive a workload from a requesting device, determine one or more accelerator devices hosted on the present edge location to perform the workload, and transmit the workload to the one or more accelerator devices to process the workload. The one or more processor is further to determine whether to perform data migration from the one or more accelerator devices to one or more different edge accelerator devices hosted on a different edge location, and send, in response to a determination to perform the data migration, a request to the one or more accelerator devices on the present edge location for transformed workload data to be processed by the one or more different edge accelerator devices.

Abstract: Embodiments of the present disclosure relate to a controller that includes a monitor to determine an access pattern for a range of memory of a first computer memory device, and a pre-loader to pre-load a second computer memory device with a copy of a subset of the range of memory based at least in part on the access pattern, wherein the subset includes a plurality of cache lines. In some embodiments, the controller includes a specifier and the monitor determines the access pattern based at least in part on one or more configuration elements in the specifier. Other embodiments may be described and/or claimed.

Abstract: Methods and apparatus to adaptively manage data collection devices in distributed computing systems are disclosed. Example disclosed methods involve instructing a first data collection device to operate according to a first rule. The example first rule specifies a first operating mode and defining a first event of interest. Example disclosed methods also involve obtaining first data from the first data collection device while operating according to the first rule. Example disclosed methods also involve, in response to determining that the first event of interest has occurred based on the first data, providing a second rule based on the first data to the first data collection device, and providing a third rule to a second data collection device. The example second rule specifies a second operating mode and defines a second event of interest, and the examples third rule specifies a third operating mode.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data resiliency in an edge network environment. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to at least one of execute and/or instantiate the instructions to generate spectrum metadata based on spectrum data, determine a resiliency operation based on one or more resiliency requirements, generate a resiliency policy based on at least one of the resiliency operation or the one or more resiliency requirements, generate a resiliency operation map based on at least one of the resiliency policy or first identifiers of respective workloads associated with the network environment, the first identifiers including a second identifier, and, in response to identifying a FAFO event associated with the second identifier, execute the resiliency operation based on mapping the second identifier to the resiliency operation in the resiliency operation map.

Abstract: Examples include techniques to manage training or trained models for deep learning applications. Examples include routing commands to configure a training model to be implemented by a training module or configure a trained model to be implemented by an inference module. The commands routed via out-of-band (OOB) link while training data for the training models or input data for the trained models are routed via inband links.

Abstract: Technologies for dynamically sharing remote resources include a computing node that sends a resource request for remote resources to a remote computing node in response to a determination that additional resources are required by the computing node. The computing node configures a mapping of a local address space of the computing node to the remote resources of the remote computing node in response to sending the resource request. In response to generating an access to the local address, the computing node identifies the remote computing node based on the local address with the mapping of the local address space to the remote resources of the remote computing node and performs a resource access operation with the remote computing node over a network fabric. The remote computing node may be identified with system address decoders of a caching agent and a host fabric interface. Other embodiments are described and claimed.

Abstract: A processor includes at least one memory controller, and a decode unit to decode a persistent commit demarcate instruction. The persistent commit demarcate instruction is to indicate a destination storage location. The processor also includes an execution unit coupled with the decode unit and the at least one memory controller. The execution unit, in response to the persistent commit demarcate instruction, is to store a demarcation value in the destination storage location. The demarcation value may demarcate at least all first store to persistent memory operations that are to have been accepted to memory when the persistent commit demarcate instruction is performed, but which are not necessarily to have been stored persistently, from at least all second store to persistent memory operations that are not yet to have been accepted to memory when the persistent commit demarcate instruction is performed.

Abstract: Technologies for providing a multi-tenant local breakout switching and dynamic load balancing include a network device to receive network traffic that includes a packet associated with a tenant. Upon a determination that the packet is encrypted, a secret key associated with the tenant is retrieved. The network device decrypts a payload from the packet using the secret key. The payload is indicative of one or more characteristics associated with network traffic. The network device evaluates the characteristics and determines whether the network traffic is associated with a workload requesting compute from a service hosted by a network platform. If so, the network device forwards the network traffic to the service.

Abstract: Technologies for providing hardware resources as a service with direct resource addressability are disclosed. According to one embodiment of the present disclosure, a device receives a request to access a destination accelerator device in an edge network, the request specifying a destination address assigned to the destination accelerator device. The device determines, as a function of the destination address, a location of the destination accelerator device and sends the request to the destination accelerator device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to control processing of telemetry data at an edge platform. An example apparatus includes an orchestrator interface to, responsive to an amount of resources allocated to an orchestrator to orchestrate a workload at the edge platform meeting a first threshold, transmit telemetry data associated with the orchestrator to a computer to obtain a first orchestration result at a first granularity; a resource management controller to determine a second orchestration result at a second granularity to orchestrate the workload at the edge platform, the second granularity finer than the first granularity; and a scheduler to schedule a workload assigned to the edge platform based on the second orchestration result.

Abstract: An embodiment of a semiconductor apparatus may include technology to receive data with a unique identifier, and bypass encryption logic of a media controller based on the unique identifier. Other embodiments are disclosed and claimed.