The Engine Powering Open-Source AI
2026-08-06 · 47 min · episode 1165 · 16 entities
Asserted relationships
-
0.77
evidence rules-v4
Link in episode "The Engine Powering Open-Source AI": https://x.com/simon_mo_
-
0.55
evidence rules-v4
Feed author/publisher: Andreessen Horowitz
-
0.50
evidence rules-v4
CEO of Inferact
-
0.50
evidence rules-v4
CEO of Inferact
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed category: Business
-
0.40
evidence rules-v4
Feed category: Entrepreneurship
-
0.40
evidence rules-v4
Feed author/publisher: a16z
Entities found in this episode
concepts 8
-
0.50
evidence rules-v4
Feed category: Science
-
0.50
evidence rules-v4
Feed category: Technology
-
0.50
evidence rules-v4
Feed category: Business
-
0.50
evidence rules-v4
Feed category: Entrepreneurship
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed category: Business
-
0.40
evidence rules-v4
Feed category: Entrepreneurship
persons 4
-
0.90
evidence rules-v4
Link in episode "The Engine Powering Open-Source AI": https://x.com/simon_mo_
-
0.77
evidence rules-v4
Link in episode "The Engine Powering Open-Source AI": https://x.com/simon_mo_
-
0.70
evidence rules-v4
Feed author/publisher: Andreessen Horowitz
-
0.55
evidence rules-v4
Feed author/publisher: Andreessen Horowitz
companys 4
-
0.62
evidence rules-v4
CEO of Inferact
-
0.50
evidence rules-v4
CEO of Inferact
-
0.50
evidence rules-v4
CEO of Inferact
-
0.40
evidence rules-v4
Feed author/publisher: a16z
Episode description as stored
Elena Burger and Matt Bornstein are joined by Simon Mo, co-founder and CEO of Inferact, the open-source inference engine powering many of today's most advanced AI applications. Together, they explore how open-source AI evolved from a research project into critical infrastructure, why inference has become one of the most important layers of the AI stack, and what it takes to bring frontier intelligence to developers around the world.
The conversation covers vLLM's origins, the rise of open-weight models, why companies increasingly want control over their AI infrastructure, and how open-source inference enables the next generation of AI applications. They also discuss model licensing, the economics of open-weight AI, Kimi K3, distillation, AI infrastructure, and why Simon believes the gap between open and closed models is rapidly disappearing.
Resources:
Follow Simon Mo on X: https://x.com/simon_mo_
Follow Matt Bornstein on X: https://x.com/BornsteinMatt
Follow Elena Burger on X: https://x.com/VirtualElena
Follow Inferact: https://x.com/inferact
Stay Updated:
Find a16z on YouTube: YouTube
Find a16z on X
Find a16z on LinkedIn
Listen to the a16z Show on Spotify
Listen to the a16z Show on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.