Dell Products Inc.

Emc IP Holding Company LLC

Yunfan Han

Junping Zhao

Rakshith Vasudev

Srinivas Varadharajan

Isaac Qin Wang

Jordan Chin

An information handling system includes processing nodes, a compute express link (CXL) switch, and CXL devices. A workload orchestrator receives a workload to be instantiated on a particular one of the processing nodes, determines a set of resources associated with the workload, selects a particular one of the CXL devices to be used based upon the set or resources, and launches the workload on the processing node.

Memory disaggregation in a multi-node environment

Methods, apparatus, and processor-readable storage media for automatically modifying user code using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining user-provided code and one or more items of information associated with the user-provided code; determining code functionality information and one or more execution-related details associated with the user-provided code by processing at least a portion of the user-provided code and at least a portion of the items of information using artificial intelligence techniques; generating one or more code segments, related to one or more portions of the user-provided code, by processing the code functionality information and the execution-related detail(s) using the artificial intelligence techniques; executing at least a portion of the code segment(s) in at least one simulation environment; and performing one or more automated actions based on results from executing the at least a portion of the code segment(s).

Automatically modifying user code using artificial intelligence techniques

Methods, apparatus, and processor-readable storage media for implementing an automated data center robotic system using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining one or more items of data, external to an automated robotic system, from a data center environment; determining one or more automated operations to be carried out by the automated robotic system within the data center environment by processing at least a portion of the one or more items of data and one or more user-provided commands using at least one artificial intelligence-based inference engine; generating one or more instructions related to carrying out the one or more automated operations within the data center environment; and performing at least a portion of the one or more automated operations within the data center environment based at least in part on the one or more instructions.

Implementing an automated data center robotic system using artificial intelligence techniques

An information handling system may include at least one central processing unit (CPU), and a plurality of special-purpose processing units. The information handling system may be configured to: repeatedly monitor amounts of data traffic exchanged between respective pairs of the special-purpose processing units during selected time periods; based on the monitored amounts of data traffic, determine an amount of traffic imbalance for the plurality of special-purpose processing units; and in response to the amount of traffic imbalance exceeding a threshold amount, transmit a notification indicative of the amount of traffic imbalance.

Topology aware real time GPU-to-GPU traffic monitoring method and analyzing tools

Techniques are provided for topology-aware provisioning of computing resources in a distributed heterogeneous environment. For example, a method includes: receiving a service request from a client system to perform a data processing job in a server cluster; determining candidate accelerator devices that reside in server nodes of the server cluster, which can be utilized to perform the data processing job; determining a connection topology of each candidate accelerator device within the server nodes, and a performance ranking of each connection topology; utilizing the determined performance ranking of each connection topology to select a group of accelerator devices among the candidate accelerator devices, which can be provisioned to perform the data processing job, wherein the selected group of accelerator devices include candidate accelerator devices with connection topologies that have matching performance rankings; and scheduling and provisioning the selected group of accelerator devices to execute the data processing job.

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Austin, TX, United States of America

Yunfan Han