Technologies for allocating resources of managed nodes to workloads to balance multiple resource allocation objectives include an orchestrator server to receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied. The orchestrator server is additionally to determine an initial assignment of a set of workloads among the managed nodes and receive telemetry data from the managed nodes. The orchestrator server is further to determine, as a function of the telemetry data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing an achievement of another of the resource allocation objectives, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed. Other embodiments are also described and claimed.

An optoelectronic switch for transferring an optical signal from a source external client device to a destination external client device, includes a leaf rack unit having thereon a leaf switch assembly including: a leaf switch having a plurality of fabric ports including a first fabric port and a second fabric port; and a fabric port multiplexer associated with the leaf switch, arranged to combine a first signal from the first fabric port and a second signal from the second fabric port onto a first connection, in the form of an outgoing first multiplexed signal. The optoelectronic switch further includes a spine rack unit including: a plurality of spine switches including a first spine switch having a fabric port and a second spine switch having a fabric port; and a demultiplexer arranged to separate an incoming multiplexed signal received from a first connection into a first signal and a second signal, the first signal directed towards the fabric port of the first spine switch and the second signal directed towards the fabric port of the second spine switch.

Embodiments may be generally direct to apparatuses, systems, method, and techniques to determine a configuration for a plurality of connectors, the configuration to associate a first interconnect protocol with a first subset of the plurality of connectors and a second interconnect protocol with a second subset of the plurality of connectors, the first interconnect protocol and the second interconnect protocol are different interconnect protocols and each comprising one of a serial link protocol, a coherent link protocol, and an accelerator link protocol, cause processing of data for communication via the first subset of the plurality of connectors in accordance with the first interconnect protocol, and cause processing of data for communication via the second subset of the plurality of connector in accordance with the second interconnect protocol.

An optical circuit that has a first input waveguide, at least a first output waveguide and an optical path between the first input waveguide and the at least a first output waveguide. A first totally internally reflecting (TIR) waveguide switch lies on the optical path between the first input waveguide and the at least a first output waveguide. A wavelength selective filter is disposed on the optical path between the first input waveguide and the at least one output waveguide, the wavelength selective filter being transmissive for light in a first wavelength range and reflective for light in a second wavelength range.

Technologies for dynamically managing resources in disaggregated accelerators include an accelerator. The accelerator includes acceleration circuitry with multiple logic portions, each capable of executing a different workload. Additionally, the accelerator includes communication circuitry to receive a workload to be executed by a logic portion of the accelerator and a dynamic resource allocation logic unit to identify a resource utilization threshold associated with one or more shared resources of the accelerator to be used by a logic portion in the execution of the workload, limit, as a function of the resource utilization threshold, the utilization of the one or more shared resources by the logic portion as the logic portion executes the workload, and subsequently adjust the resource utilization threshold as the workload is executed. Other embodiments are also described and claimed.

A network system for a data center is described in which a switch fabric may provide full mesh interconnectivity such that any servers may communicate packet data to any other of the servers using any of a number of parallel data paths. Moreover, according to the techniques described herein, edge-positioned access nodes, optical permutation devices and core switches of the switch fabric may be configured and arranged in a way such that the parallel data paths provide single L2/L3 hop, full mesh interconnections between any pairwise combination of the access nodes, even in massive data centers having tens of thousands of servers. The plurality of optical permutation devices permute communications across the optical ports based on wavelength so as to provide, in some cases, full-mesh optical connectivity between edge-facing ports and core-facing ports.

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuitry is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

A network (100) for a data center is disclosed. The network comprises computing resources (120), storage resources (110), and a switching apparatus (130). The switching apparatus (130) comprises a plurality of electrical switching components (140) configured to provide packet switching for traffic between computing resources or between computing and storage resources, and an optical switching fabric (150) configured to select an electrical switching component to provide packet switching between computing resources (120) and to provide connectivity between the plurality of electrical switching components (140) and the computing and storage resources (120, 110). Also disclosed is a method (400) for configuring a Virtual Performance Optimised Data Center (vPOD) in a network. The method comprises assigning computing resources of the network to the vPOD (410), assigning storage resources of the network to the vPOD (420) and assigning at least one of a plurality of electrical switching components of the network to provide packet switching for traffic between the computing resources of the vPOD or between the computing and storage resources of the vPOD (430). The method further comprises interconnecting the assigned computing and storage resources and the assigned at least one of a plurality of electrical switching components using an optical switching fabric (440).

Examples may include sleds for a rack in a data center including physical compute resources and memory for the physical compute resources. The memory can be disaggregated, or organized into near and far memory. A first sled can comprise the physical compute resources and a first set of physical memory resources while a second sled can comprise a second set of physical memory resources. The first set of physical memory resources can be coupled to the physical compute resources via a local interface while the second set of physical memory resources can be coupled to the physical compute resources via a fabric.

Technologies for adaptive processing of multiple buffers is disclosed. A compute device may establish a buffer queue to which applications can submit buffers to be processed, such as by hashing the submitted buffers. The compute device monitors the buffer queue and determines an efficient way of processing the buffer queue based on the number of buffers present. The compute device may process the buffers serially with a single processor core of the compute device or may process the buffers in parallel with single-instruction, multiple data (SIMD) instructions. The compute device may determine which method to use based on a comparison of the throughput of serially processing the buffers as compared to parallel processing the buffers, which may depend on the number of buffers in the buffer queue.