HARDWARE AGNOSTIC VIRTUALIZED MACHINE LEARNING AND ARTIFICAL INTELLIGENCE ACCELERATOR
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United States of America
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Issued Date -
Nov 21, 2024
app pub date -
May 18, 2023
filing date -
May 18, 2023
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Abstract
The disclosure provides an approach for a hardware agnostic paravirtualized machine learning (ML) and artificial intelligence (AI) accelerator in a virtual environment. A method includes running a ML application on a first virtual computing instance (VCI) on a host; generating a set of tensors based on one or more computations associated with the ML application; generating a computational graph for the ML application based on the set of tensors; providing, by a paravirtualized ML accelerator running on the host, the computational graph to a driver VCI running on the host; and executing the one or more computations associated with the ML application using at least one of the one or more physical hardware ML accelerators associated with the paravirtualized ML accelerator.
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