Innovation and Solutions for Embedded and Edge AI
summary
Claims a 700,000-developer base and 3,000 active customers and a Jetson product line from $99 Nano dev kit up to AGX Xavier delivering about 0.5 TFLOP to 32 TOPS. Software stack is concrete: JetPack SDK, CUDA, TensorRT and DeepStream plus Isaac and a Transfer Learning Toolkit; TensorRT optimizes models per target (Nano, Xavier NX). Community demos like a reading-eye for the blind and a weed-removal robot run on these modules and some teams ship commercial products.
AI-written summary · about
chapters (12)
- 0:00Intro
- 1:17Designing and developing systems
- 4:34Jetson platform
- 6:00Jetpack SDK
- 8:51Cloud Native Capabilities
- 10:46Nvidia Metropolis Platform
- 12:34Transfer Learning Toolkit
- 13:30Pretrained Models
- 14:48TensorRT
- 16:12ISAAC
- 18:30Gems
- 19:17Ecosystem
related talks
28mMachine Learning on the Edge
55mEdgeAI - AI in the Palm of Your Hand
26mBuilding a Cloud Native Edge Platform for Accelerating AI Inference
40mFueling the AI Revolution with Gaming
28mDeveloper Essentials for the New Era of AI
22mAdvancing the Human Experience
02mpartner on go-to market Jetson platform
55mLarge Scale Distributed AI on the JVM