Object store for AI workloads | Anand Babu Periasamy, cofounder and CEO of MinIO
08/28/23 • 40 min
Anand Babu "AB" Periasamy is the cofounder and CEO of MinIO, a high performance object storage for AI that's built for large scale workloads. They have raised $126M in funding from the likes of General Catalyst, Softbank, Intel Capital, and Nexus Venture Partners. It's the world's fastest growing object storage company with more than 1 billion Docker pulls and more than 35K stars on GitHub. He's also an angel investor with investments in companies like H2O.ai, Isovalent, Starburst, Postman, and many more. He was previously the cofounder and CTO of Gluster, which got acquired by Red Hat.
In this episode, we cover a range of topics including:
- Why is storage important for AI workflows
- What are the characteristics of a good data storage product
- Repatriation of data from public cloud to on-prem
- Running ML experiments in parallel
- AI compute offerings from data infrastructure providers
- Making data infrastructure faster and cheaper
AB's favorite book: An Awesome Book! (Author: Dallas Clayton)
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Anand Babu "AB" Periasamy is the cofounder and CEO of MinIO, a high performance object storage for AI that's built for large scale workloads. They have raised $126M in funding from the likes of General Catalyst, Softbank, Intel Capital, and Nexus Venture Partners. It's the world's fastest growing object storage company with more than 1 billion Docker pulls and more than 35K stars on GitHub. He's also an angel investor with investments in companies like H2O.ai, Isovalent, Starburst, Postman, and many more. He was previously the cofounder and CTO of Gluster, which got acquired by Red Hat.
In this episode, we cover a range of topics including:
- Why is storage important for AI workflows
- What are the characteristics of a good data storage product
- Repatriation of data from public cloud to on-prem
- Running ML experiments in parallel
- AI compute offerings from data infrastructure providers
- Making data infrastructure faster and cheaper
AB's favorite book: An Awesome Book! (Author: Dallas Clayton)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Previous Episode
AI assistant for software development | Eran Yahav, cofounder and CTO of Tabnine
Eran Yahav is the cofounder and CTO of Tabnine, an AI assistant that developers can use to build software faster. He's a professor at Technion - Israel Institute of Technology and was previously a researcher at IBM. He has a PhD in Computer Science from Tel Aviv University.
In this episode, we cover a range of topics including:
- Tasks in software development
- What tasks are likely to benefit from LLMs
- The launch of Tabnine Chat
- Characteristics of a good AI coding assistant
- Making AI coding assistants context-aware
- Generic LLMs vs domain specific LLMs
- AI copilot for devops work
Eran's favorite book: Catch-22 (Author: Joseph Heller)
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Next Episode
Prateek talks about 8 strategies to speed up ML on different hardware platforms
In this episode, the host Prateek Joshi talks about:
- why do we care about this problem
- who needs it
- how does it work
- list of 8 strategies to speed up ML
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
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