Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

Systems, methods, and devices for improved routing operations in a network computing environment. A system includes a network topology comprising a spine node and a plurality of leaf nodes. The system is such that at least one of the plurality of leaf nodes is associated with one or more networking prefixes. The spine node stores a prefix table. The prefix table includes a listing of networking prefixes in the network topology. The prefix table includes an indication of at least one equal-cost multipath routing (ECMP) group associated with each of the networking prefixes in the network topology. The prefix table includes an indication of at least one leaf node of the plurality of leaf nodes associated with each of the networking prefixes in the network topology.

Racks and rack pods to support a plurality of sleds are disclosed herein. Switches for use in the rack pods are also disclosed herein. A rack comprises a plurality of sleds and a plurality of electromagnetic waveguides. The plurality of sleds are vertically spaced from one another. The plurality of electromagnetic waveguides communicate data signals between the plurality of sleds.

Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

A system for providing power over Ethernet illuminated signage is provided. The system includes receiving lighting instructions via an Ethernet compatible communications protocol, translating those instructions to a lower bandwidth, slower protocol while passing through DC power. Illumination fixtures are powered by the passed-through power and operated in accordance with the translated instructions.

Systems and methods are described for distribution of content within a vehicle. A server having a first set of content stored within a memory can be communicatively coupled with one or more clients such as using a plurality of wireless access points. Each of the clients can have a processor, memory, and transceiver, such that it can communicate with the server and potentially its neighbors. Groups of the clients can be communicatively coupled, such as via a wired or wireless network, which permits the clients to communicate with one another to retrieve content, for example, rather than burden the server or the wireless access points.

Technologies for providing accelerated functions as a service in a disaggregated architecture include a compute device that is to receive a request for an accelerated task. The task is associated with a kernel usable by an accelerator sled communicatively coupled to the compute device to execute the task. The compute device is further to determine, in response to the request and with a database indicative of kernels and associated accelerator sleds, an accelerator sled that includes an accelerator device configured with the kernel associated with the request. Additionally, the compute device is to assign the task to the determined accelerator sled for execution. Other embodiments are also described and claimed.

Systems, methods, and devices for offloading network data to a datastore. A system includes a plurality of instances of a datastore node in a single networking device, each of the plurality of instances of the datastore node comprising: a datastore; a publisher independent of the datastore for publishing data to the datastore; a subscriber independent of the datastore for receiving information from the datastore; a replicator agent configured to connect to the datastore as a publisher or a subscriber; and a persistent storage agent configured to connect to the datastore as a publisher or a subscriber.

Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.

Example implementations relate to a bridge port extender. For example, a bridge port extender may include a processor. The processor may receive an Ethernet frame from a network bridge, where the Ethernet frame includes an encapsulated portion and an unencapsulated portion, and where the unencapsulated portion includes an E-tag. The processor may remove the E-tag from the unencapsulated portion to form a modified Ethernet frame. The processor may transmit the modified Ethernet frame to a client device based on the E-tag.