Episode 22: Taming AI Complexity with Head of Engineering at Anyscale
Jaikumar Ganesha (JK), Head of Engineering at Anyscale, breaks down modern AI infrastructure challenges and how Ray (the open-source compute framework) is powering production-grade AI at scale. Covers the 'AI complexity wall,' distributed training, and includes a live demo of building a multimodal AI app.
Special Guests
Jaikumar Ganesha
Head of Engineering at Anyscale, scaling AI infrastructure with Ray.
Timestamps
00:00Intro & Speaker Welcome01:00AI Complexity Wall03:00Why 90% of AI projects never reach production04:30What is Ray? Introduction06:00Key Trends: Multimodal, Agentic AI & Post-Training09:00How Ray supports complex ML use cases12:00The Modern AI/ML Stack15:00Ray Data for Multimodal Workloads17:30Pipeline Example: Resize, Segment, Classify20:00Ray + Anyscale: Making Production Easy22:30Demo: Developer Workflow & Auto-Scaling24:00Recap & Try Ray TodayRelated Episodes
Episode 33: Open Source Survival in the Age of AI: Joshua Drake on Licensing, Governance & Monetization
Joshua Drake, President and CTO of Command Prompt with nearly 30 years in the PostgreSQL community, lays out the risks AI creates for open source: extraction without attribution, model collapse, AI-generated security holes, and legal exposure from derivative work. He argues that proof of human contribution, signed origins, and governance with humans in the loop matter more than ever, and shows how commercial open source companies can adopt AI without losing community trust.
Episode 31: Building BYOC for Fortune 500: The Real Story of Enterprise AI Deployment
Daniel Chalef, founder and CEO of Zep AI, walks through the brutal technical reality of deploying AI products into Fortune 500 environments, zero-trust architectures, Service Control Policies, no-egress VPCs, and broken image supply chains. He explains why pure SaaS AI products can't meet enterprise security bars and how Bring Your Own Cloud (BYOC) deployments actually get shipped into locked-down customer infrastructure.
![Building the Business Behind Open Source AI @ AWS San Francisco [Live]](https://i.ytimg.com/vi/wVRZe8xhymQ/maxresdefault.jpg)
Episode 30: Building the Business Behind Open Source AI @ AWS San Francisco [Live]
A live panel recorded at AWS San Francisco bringing together open-source AI founders and builders from Zep AI, DataRobot, Command Prompt, Scalar Labs, StreamNative, and Omnistrate. The group moves past technical specs to share strategic and personal reflections on how open source AI teams deploy, scale, and monetize.