Dell on demand Webinar
Dell on demand Webinar hero

Learn best practices for building an end-to-end workflow for Autonomous Driving applications with experts from Dell Technologies and cnvrg.io. In this webinar we sit with Charles Sevior, CTO of Automotive and AI at Dell Technologies to discuss a new continuous development toolchain and recommended technologies to support ADAS development and delivery. This webinar will cover the unique challenges ADAS developers face in their workflow, and how to build a fluid toolchain that supports model training, experimentation and deployment on diverse workloads, CI/CD, and MLOps capabilities. Get an inside look into the latest release of Dell Technologies Autonomous Drive Reference Architecture, and how cnvrg.io MLOps solution fits the unique requirements of autonomous driving customers. We will show you how to jumpstart your datas science project, with cnvrg.io starter kit, bundled with GPU and CPU servers.

 

What we’ll cover: 

  • Dell Technologies recommended reference architecture for AD/ADAS
  • How to manage data for machine learning with efficient tiering and caching
  • Recommendations for building an AI CI/CD toolchain 
  • How to support diverse workloads (GPUs, CPUs, AI accelerators)
  • Requirements for an MLOps solution 
  • MLOps for ADAS development and deployment

Learn best practices for building an end-to-end workflow for Autonomous Driving applications with experts from Dell and cnvrg.io. In this webinar we sit with Charles Sevior, CTO of Automotive and AI at Dell Technologies to discuss a new continuous development toolchain and recommended technologies to support ADAS development and delivery. This webinar will cover the unique challenges ADAS developers face in their workflow, and how to build a fluid toolchain that supports model training, experimentation and deployment on diverse workloads, CI/CD, and MLOps capabilities. Get an inside look into the latest release of Dell’s Autonomous Drive Reference Architecture, and how cnvrg.io MLOps solution fits the unique requirements of autonomous driving customers. We will show you how to jumpstart your datas science project, with cnvrg.io starter kit, bundled with GPU and CPU servers.

 

What we’ll cover: 

  • Dell’s recommended reference architecture for AD/ADAS
  • How to manage data for machine learning with efficient tiering and caching
  • Recommendations for building an AI CI/CD toolchain 
  • How to support diverse workloads (GPUs, CPUs, AI accelerators)
  • Requirements for an MLOps solution 
  • MLOps for ADAS development and deployment

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