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 ⁠Garima Kapoor - LinkedIn⁠ ⁠OpenAI⁠ ⁠NVIDIA GDC Announcements on Object Storage⁠ ⁠Nataraj's previous interview on startup infrastructure⁠ ⁠LinkedIn⁠ ⁠Twitter⁠