Learn best practices for building an end-to-end workflow for Autonomous Driving applications with experts from Dell Technologies and Intel® Tiber™ AI Studio. 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 Intel® Tiber™ AI Studio MLOps solution fits the unique requirements of autonomous driving customers. We will show you how to jumpstart your datas science project, with Intel® Tiber™ AI Studio 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 Intel® Tiber™ AI Studio. 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 Intel® Tiber™ AI Studio MLOps solution fits the unique requirements of autonomous driving customers. We will show you how to jumpstart your datas science project, with Intel® Tiber™ AI Studio 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