LOADING MODELS ON NODES HAVING MULTIPLE MODEL SERVICE FRAMEWORKS

Patent №

US 10,929,191

Granted

2021-02-23

Filed 2020

Owner

ALIBABA GROUP HOLDING LIMITED

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16939740

This disclosure relates to model loading. In one aspect, a method includes determining, based on a preset execution script and resource information of multiple execution nodes, loading-tasks corresponding to the execution nodes. Each execution node is deployed on a corresponding cluster node. Loading requests are sent to the execution nodes, thereby causing the execution nodes to start execution processes based on the corresponding loading requests. The execution processes start multiple model service frameworks on each cluster node. Multiple models are loaded onto each of the model service frameworks. Each loading request includes loading-tasks corresponding to the execution node to which the loading request was sent. The execution processes include a respective execution process for each model service framework.

Machine learningAI hardwareG06F 9/5038G06F 9/505G06F 9/5044G06F 9/5072G06F 11/3442G06N 20/00G06F 11/302G06F 11/3055+1 more

AI classification

AI hardware0.99
Machine learning0.84
Knowledge representation0.24
Natural language0.13
Planning0.04
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

ALIBABA GROUP HOLDING LIMITED

assignment · 536040832

Assignors

WANG, YUEMING, LI, JILIANG

On an employer assignment, the assignors are typically the inventors.

From the same owner

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