How can an AI platform be optimized from hardware to software while staying open to developers and partners at every layer? In Episode 5 of AI Factory Insider, host Kaushik Shirhatti (VP, AI Factory, NVIDIA) is joined by Pradeep Gupta (VP, Industries Solutions Architecture, NVIDIA) and Stephen Jones (CUDA Architect, NVIDIA) to discuss how vertical integration works with an open ecosystem, how CUDA-X libraries serve specialized industry workloads, and how agent skills are changing software development. What we cover: 0:00 — Introduction 1:08 — Meet Pradeep Gupta and Stephen Jones 1:28 — What does "vertically integrated, horizontally open" mean? 3:25 — One platform, many industries 4:30 — AI across healthcare, retail, and finance 6:35 — What stays common across industries 8:55 — CUDA: the link from apps to GPUs 10:29 — CUDA's early days and the first debugger 13:24 — The spreadsheet behind CUDA profiling 14:24 — CUDA vs. CUDA-X libraries 16:08 — Identifying the right CUDA-X library for your use case 17:42 — How is CUDA open if it runs on NVIDIA GPUs? 21:33 — CUDA-X in finance, biopharma, and smart cities 22:50 — How CUDA libraries build on each other 25:18 — CUDA and GPU hardware co-design 28:05 — Reuse the core; specialize when needed 29:15 — Agents need tools and skills 31:01 — CUDA-X libraries as agent skills 32:59 — How AI agents change the way developer work 37:15 — Wrap-up Resources: CUDA: New Features and Beyond 👉 https://nvda.ws/4hBmS5R NVIDIA Enterprise AI Factory Design Guide White Paper 👉 https://nvda.ws/4xV5L5d CUDA-X Libraries 👉 https://nvda.ws/4hqwP60 CUDA Toolkit 👉 https://nvda.ws/4yWzz22 NVIDIA AI Factories 👉 https://nvda.ws/4z8mdA5

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