Maxim Fateev, Jo Franchetti, Ankit Patel & Ivan Burazin
Open Source: The Engine of Innovation in the Digital Age
#1about 5 minutes
How different organizations approach using open source
Panelists from Daytona, Nvidia, and Temporal share their strategies for creating, contributing to, and consuming open source projects.
#2about 2 minutes
Highlighting impactful contributions and the rise of open models
Nvidia's work on enabling GPUs in Kubernetes is highlighted as an example of impactful contribution, alongside the growing importance of open AI models.
#3about 6 minutes
How companies can ethically promote open source development
The discussion covers the importance of open governance, educating engineers to contribute back, and providing manager support for maintainers' time.
#4about 6 minutes
Exploring different business models for open source projects
Panelists debate various monetization strategies, including SaaS offerings, enterprise support, and the pros and cons of the open core model.
#5about 7 minutes
The future of open source licensing and incentives
The conversation addresses the challenges of current licensing, the fear of large cloud providers, and the need for innovative licenses for open AI models.
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22:21 MIN
The rise of commercial open source and non-compete licenses
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18:42 MIN
Open source models ensure a competitive AI ecosystem
Decoding Trends: Strategies for Success in the Evolving Digital Domain
16:09 MIN
Why open source is the new standard for development
Harnessing the Power of Open Source's Newest Technologies
13:04 MIN
The benefits of an open and unified AI stack
From Model to Metal: An Open Source Stack for Accelerating Intelligence
34:04 MIN
Exploring business models built on open source
Can you build a career in open source?
00:30 MIN
The growing influence and economic value of open source AI
The Open Future of AI: Beyond Open Weights
00:02 MIN
Understanding the fundamentals of open source
Measuring Project Health in Open Source
24:32 MIN
Q&A on cost, adoption, and open source plans
Reducing Cognitive Overload Through Platform Engineering
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