APPARATUS, ARTICLES OF MANUFACTURE, AND METHODS FOR COMPOSABLE MACHINE LEARNING COMPUTE NODES

• Main Authors: Munoz, Juan Pablo, Poornachandran, Rajesh, Lacewell, Chaunte, Nurvitadhi, Eriko, Davare, Abhijit, Boutros, Andrew, Jain, Nilesh, Akhauri, Yash, Bhiwandiwalla, Anahita
• Format: Patent
• Language: English
• Published: 14.04.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

Methods, apparatus, systems, and articles of manufacture are disclosed for composable machine learning compute nodes. An example apparatus includes interface circuitry to receive a workload, instructions in the apparatus, and processor circuitry to at least one of execute or instantiate the instructions to generate a first configuration of one or more machine-learning models based on a workload, generate a second configuration of hardware, determine an evaluation parameter based on an execution of the workload, the execution of the workload based on the first configuration and the second configuration, and, in response to the evaluation parameter satisfying a threshold, execute the one or more machine-learning models in the first configuration on the hardware in the second configuration, the one or more machine-learning models and the hardware to execute the workload.