TVM Meetup Nov. 16th - Linaro
TVM Meetup - Linaro Jammy Zhou November 16th, 2019Bringing together the Arm ecosystemLinaro AI Initiative Provide the best-in-class Deep Learning performance by leveraging Neural Network acceleration and SoCs from the Arm ecosystem, through collaborative seamless integration with the ecosystem of AI/ML software frameworks and librariesArm NN open source project ● Linaro-hosted https://www.mlplatform or WIP: Hexagon DSP (via llvm), Ascend NPU, and more Green: Linaro 96BoardsLinaro for TVM ● Linaro AI/ML group can be a good fit for TVM collaborations on Arm based platforms to support more devices with0 码力 | 7 页 | 1.23 MB | 5 月前3Curve for CNCF Main
performance cloud native file systemUse Cases • Container • Database • Data apps(middleware/bigdata/ai) • Data backupContainer • Aggregates underlying storage in the cloud (AWS EBS, AWS S3, AWS Glacier cloud failure happens, Database service can move to the slave cloudData apps(middleware/bigdata/ai) • CurveFS can manage different storages (HDFS, OSS, EBS) below • Apps access data by POSIX0 码力 | 21 页 | 4.56 MB | 5 月前3PAI & TVM Meetup - Shanghai 20191116
计算平台事业 。TensorCore 。A revolutionary technology that delivers groundbreaking AI performance. 。 Performs /mxeo-Drecsion matrix multiply and accumulate in a single operation. Background0 码力 | 26 页 | 5.82 MB | 5 月前3Dynamic Model in TVM
Presenter: Haichen Shen, Yao Wang Amazon SageMaker Neo, Deep Engine Science Dynamic Model in TVM AWS AI© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Models with dynamism ● Control0 码力 | 24 页 | 417.46 KB | 5 月前3
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