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youtube_video_url amazon_s3_presentation_url amazon_s3_video_url categories description image session_attendee_num session_id session_room session_slot session_speakers session_track tag tags title
san19
AWS is a leading cloud-service provider with the goal of providing the best customer experience. ARM has a unique place in the whole ecosystem – both at server and edge devices. In this talk, I will explain how AWS Sagemaker Neo accelerates deep learning on EC2 ARM A1 instances and ARM-based edge devices to improve customer experience. AWS Sagemaker Neo uses TVM, an open-source end-to-end deep learning compiler stack.
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/assets/images/featured-images/san19/SAN19-311.png
51
SAN19-311
Pacific Room (Keynote)
end_time start_time
2019-09-25 12:55:00
2019-09-25 12:30:00
speaker_bio speaker_company speaker_image speaker_location speaker_name speaker_position speaker_url speaker_username
Animesh Jain is an Applied Scientist II at Amazon Web Services with a strong research background in computer architecture and compilers. He has a doctorate from University of Michigan, Ann Arbor in Computer Science and Engineering. Animesh has published many research papers in top-tier technical conferences. Currently, he is pursuing the dream of running machine learning everywhere by improving machine learning compilers.
AWS
/assets/images/speakers/san19/animesh-jain.jpg
Animesh Jain
Applied Scientist
anijain
AI/Machine Learning
session
Machine Learning/AI
SAN19-311 - TVM – An End to End Deep Learning Compiler Stack
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