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.

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.

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.

A compute device to generate deterministic compressed streams receives a current string to be matched to one or more prior instances of the current string, the current string being located within an input buffer and the one or more prior instances located within a history buffer. The compute device identifies a limited subset of index memory designated for storing pointers to the prior instances, identifying a reserved slop region in the index memory, and compares the current string to a prior instance, locating the at least one prior instance using at least one pointer to the at least one prior instance. The at least one pointer is stored within the limited subset of the index memory, and the compute device also prohibits use of any pointers stored in the reserved slop region of the index memory. Other embodiments are described and claimed.

A network storage device connected with a network fabric includes a network storage controller that performs interfacing with the network fabric and translates and processes a command provided through the network fabric, and a nonvolatile memory cluster that exchanges data with the network storage controller under control of the network storage controller. The nonvolatile memory cluster includes a first nonvolatile memory array connected with the network storage controller through a first channel, a nonvolatile memory switch connected with the network storage controller through a second channel, and a second nonvolatile memory array communicating with the network storage controller under control of the nonvolatile memory switch.

An endpoint group (EPG) can be stretched between the sites so that endpoints at different sites can be assigned to the same stretched EPG. Because the sites can use different bridge domains when establishing the stretched EPGs, the first time a site transmits a packet to an endpoint in a different site, the site learns or discovers a path to the destination endpoint. The site can use BGP to identify the site with the host and use a multicast tunnel to reach the site. A unicast tunnel can be used to transmit future packets to the destination endpoint. Additionally, a stretched EPG can be segmented to form a micro-stretched EPG. Filtering criteria can be used to identify a subset of the endpoints in the stretched EPG that are then assigned to the micro-stretched EPG, which can have different policies than the stretched EPG.

An endpoint group (EPG) can be stretched between the sites so that endpoints at different sites can be assigned to the same stretched EPG. Because the sites can use different bridge domains when establishing the stretched EPGs, the first time a site transmits a packet to an endpoint in a different site, the site learns or discovers a path to the destination endpoint. The site can use BGP to identify the site with the host and use a multicast tunnel to reach the site. A unicast tunnel can be used to transmit future packets to the destination endpoint. Additionally, a stretched EPG can be segmented to form a micro-stretched EPG. Filtering criteria can be used to identify a subset of the endpoints in the stretched EPG that are then assigned to the micro-stretched EPG, which can have different policies than the stretched EPG.

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.

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.

Technologies for flexibly compressing data include a computing device having an accelerator complex that is to receive a compression job request and schedule the compression job request for one or more hardware compression resources of the accelerator complex. The accelerator complex is further to perform the compression job request with the one or more hardware compression resources in response to scheduling the compression job request and to communicate uncompressed data and compressed data with an I/O subsystem of the computing device in response to performing the compression job request. Other embodiments are described and claimed.