Why AI Runs on Object Storage & How MinIO is Competing with AWS S3

In this episode, Garima Kapoor, co-founder and co-CEO of Min.io, shares insights into how storage infrastructure is evolving in response to AI, cloud, and enterprise needs. She offers a clear view of the market dynamics, innovative trends, and the strategic role of open-source technology in shaping the future. Key topics: * The origins and motivation behind Min.io’s development * How data growth influences storage strategies and the shift toward hybrid and private clouds * The impact of AI on storage infrastructure and workloads * Competitive landscape with giants like AWS, Azure, GCP, and the rise of Neo Clouds * The importance of open standards for application portability and data gravity * Evolving customer adoption: from open source developer community to enterprise sales * The role of AI in accelerating product development, coding, and organizational decision-making * How AI’s rapid evolution is shifting the fundamentals of skills and fundamentals for engineers * Future market opportunities: exponential growth in storage needs driven by AI and IoT Timestamps: * 00:00 - Introduction to Garima Kapoor and Min.io * 00:31 - Motivation behind starting Min.io & market needs for object storage * 01:07 - The founding story and personal drivers for creating Min.io * 02:13 - Data growth drivers and the importance of data proximity over cloud location * 03:05 - Business landscape: cloud vs. on-premises and hybrid environments * 04:01 - Data migration challenges and promoting application portability * 06:10 - Early product-market fit through open source and developer community growth * 07:19 - Enterprise adoption journey from open source to cloud-native architecture * 08:17 - Customer acquisition strategies blending bottom-up developer growth and enterprise sales * 09:27 - Competing with Amazon, Microsoft, Google in the cloud storage space * 11:33 - Impact of AI on storage: demand, infrastructure evolution, and market timing * 12:51 - Min.io’s advantage in AI workloads due to cloud-native architecture * 13:21 - Penetration of AI in storage: training, inferencing, and data utilization * 15:01 - AI for enterprise applications: storage, models, and data lakes * 16:26 - Neo Clouds and their role in GPU-optimized storage architectures * 18:58 - The increasing demand for object storage driven by AI and data creation * 21:02 - The effect of AI coding tools on product development speed and engineering skills * 23:36 - Internal AI-driven solutions for operational efficiency * 24:44 - The role of AI in reducing reliance on SaaS tools and infrastructure security * 27:22 - Managing costs and building for the future in AI investment and storage * 29:01 - The opportunity cost of tokens and AI-driven productivity gains * 31:00 - Skills for early engineers in an AI-enabled future * 33:32 - Min.io’s next steps and market expansion plans * 34:36 - The paradigm shift: every business becoming AI and data-driven by 2026 Resources & Links: Connect with Garima Kapoor: * ⁠Min.io Official Website⁠ [https://min.io/] * ⁠Garima Kapoor - LinkedIn⁠ [https://linkedin.com/in/garimakapoor] * ⁠OpenAI⁠ [https://openai.com/] * ⁠NVIDIA GDC Announcements on Object Storage⁠ [https://nvidia.com/en-us/about-news/] * ⁠Nataraj's previous interview on startup infrastructure⁠ [https://youtube.com/example]