Manish Harsh – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2023-06-09T22:36:44Z http://www.open-lab.net/blog/feed/ Manish Harsh <![CDATA[Scaling AI with MLOps and the NVIDIA Partner Ecosystem]]> http://www.open-lab.net/blog/?p=61612 2023-06-09T22:36:44Z 2023-03-08T23:29:40Z AI is impacting every industry, from improving customer service and streamlining supply chains to accelerating cancer research.  As enterprises invest in...]]>

AI is impacting every industry, from improving customer service and streamlining supply chains to accelerating cancer research. As enterprises invest in AI to stay ahead of the competition, they often struggle with finding the strategy and infrastructure for success. Many AI projects are rapidly evolving, which makes production at scale especially challenging. We believe in developing…

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Manish Harsh <![CDATA[Deploying a Scalable Object Detection Inference Pipeline: Optimization and Deployment, Part 3]]> http://www.open-lab.net/blog/?p=20870 2022-08-21T23:40:39Z 2020-12-18T18:43:45Z This post is the third in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). The previous posts provided a general...]]>

This post is the third in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). The previous posts provided a general overview of deep learning inference for object detection and covered the object detection inference process and object detection metrics. In this post, we conclude with a brief look at the optimization techniques and deployment of an end-to-end…

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Manish Harsh <![CDATA[Deploying a Scalable Object Detection Pipeline: The Inferencing Process, Part 2]]> http://www.open-lab.net/blog/?p=20800 2022-08-21T23:40:38Z 2020-12-18T18:42:19Z This post is the second in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). The previous post in this series provided a...]]>

This post is the second in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). The previous post in this series provided a general overview of the deep learning inference for object detection. In this post, we dive deep into the object detection inference process. We cover an explanation of the object detection metrics and how to interpret them with empirical…

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Manish Harsh <![CDATA[Deploying a Scalable Object Detection Inference Pipeline, Part 1]]> http://www.open-lab.net/blog/?p=19956 2022-08-21T23:40:36Z 2020-08-28T16:29:32Z This post is the first in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). In this post, we provide a general overview...]]>

This post is the first in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). In this post, we provide a general overview of the deep learning inference for object detection. The next posts cover the object detection inference process and object detection metrics and optimization techniques and deployment of an end-to-end inference pipeline.

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