
The Cloudcast
The Cloudcast (@cloudcastpod) is the industry's #1 Cloud Computing podcast, and the place where Cloud meets AI. Co-hosts Aaron Delp (@aarondelp) & Brian Gracely (@bgracely) speak with technology and business leaders that are shaping the future of business. Topics will include Cloud Computing | AI | AGI | ChatGPT | Open Source | AWS | Azure | GCP | Platform Engineering | DevOps | Big Data | ML | Security | Kubernetes | AppDev | SaaS | PaaS .
Latest episodes

May 19, 2024 • 33min
Lessons Learned from AWS Leadership Transition
AWS leadership transitions are dissected, discussing the lessons learned and new CEO Matt Garmin. They explore the importance of industry familiarity, leadership experience, and public image. The show delves into strategic decisions amidst competition and speculates on upcoming innovations.

May 15, 2024 • 31min
AI Safety and Regulation
Mark Collier, COO @ OpenInfra Foundation, discusses the importance of open source AI, transparency, and AI regulation. He highlights the risks of AI arms race, the need for open collaboration to prevent 'AI overlords', and the challenges in balancing innovation and regulations in the AI industry.

May 11, 2024 • 26min
Bringing Open Source to AI
Exploring the intersection of open source and AI, the podcast delves into the shift towards diverse AI models in 2023 and the challenges of creating communities around open models. It raises questions about reducing AI costs, ensuring data security, and allowing businesses to contribute knowledge to models. The discussion also touches on synthetic data generation, making technology more accessible, and encouraging non-data scientists to contribute to AI models.

May 8, 2024 • 27min
Front-End Clouds and Web Development
Malte Ubl, CTO @Vercel, discusses front-end web development, AI in infrastructure, and business impacts. Topics include front-end clouds, AI-generated front-ends, common use cases, AI integration, and business challenges in front-end development.

May 5, 2024 • 24min
Identifying Leadership Traits to Follow
Exploring key leadership traits in the tech industry, from identifying skills to evaluating team dynamics. Assessing leaders' backgrounds, motivations, and team-building abilities. Emphasizing the importance of aligning personal values with company culture and navigating career decisions based on priorities and market conditions.

May 1, 2024 • 43min
Cloud News of the Month - April 2024
The hosts discuss major cloud and AI news from April 2024, trends for the year, Broadcom/VMware AI discussions. They cover IBM's acquisition of Hashi Corp, Cisco's AI-integrated HyperShield security, hype and down rounds in VC funding, language model diversification, and tech industry dynamics.

Apr 28, 2024 • 32min
Open Source and Business…sigh
Adam Jacobs discusses the challenges of open source and business dynamics. Topics cover software licenses, VC funding, diverse contributors, and the balance between financial goals and open source principles. The podcast explores the debate on whether open source is primarily a marketing vehicle for companies and the complexities of building a business around open source software.

21 snips
Apr 24, 2024 • 34min
Sizing AI Workloads
John Yue, CEO & Co-Founder @ inference.ai, delves into AI workload sizing, matching GPUs to workloads, and the complexities of AI/ML hosting. Topics include business considerations in GPU selection, challenges in AI hardware procurement, and the importance of tailored solutions for varying workload demands.

Apr 21, 2024 • 22min
The Maintenance Episode
Exploring the significance of maintenance both in everyday life and the tech industry. Discussing challenges in software systems, AWS's price hike for older Kubernetes, and the shift from perpetual to subscription pricing. Highlighting the importance of maintenance in tech, contrasting it with innovation. Emphasizing the value of maintainers and maintenance practices to prevent burnout and sustain projects.

Apr 17, 2024 • 26min
Synthetic Data for AI
Kalyan Veeramachaneni, CEO/Founder of DataCebo, discusses the concept and benefits of synthetic data for AI, including its use cases, history, and advantages for GenAI. The podcast covers the need for synthetic data in testing, addressing bias issues, and ensuring data quality. They also talk about the security challenges in AI training, using CPUs, and ensuring data privacy. Overall, a deep dive into the world of synthetic data for enhancing machine learning models.