Steeve Morin is the Founder & CEO @ ZML, a next-generation inference engine enabling peak performance on a wide range of chips. Prior to founding ZML, Steeve was the VP Engineering at Zenly for 7 years leading eng to millions of users and an acquisition by Snap.
In Today’s Episode We Discuss:
04:17 How Will Inference Change and Evolve Over the Next 5 Years
09:17 Challenges and Innovations in AI Hardware
15:38 The Economics of AI Compute
18:01 Training vs. Inference: Infrastructure Needs
25:08 The Future of AI Chips and Market Dynamics
34:43 Nvidia's Market Position and Competitors
38:18 Challenges of Incremental Gains in the Market
39:12 The Zero Buy-In Strategy
39:34 Switching Between Compute Providers
40:40 The Importance of a Top-Down Strategy for Microsoft and Google
41:42 Microsoft's Strategy with AMD
45:50 Data Center Investments and Training
46:40 How to Succeed in AI: The Triangle of Products, Data, and Compute
48:25 Scaling Laws and Model Efficiency
49:52 Future of AI Models and Architectures
57:08 Retrieval Augmented Generation (RAG)
01:00:52 Why OpenAI’s Position is Not as Strong as People Think
01:06:47 Challenges in AI Hardware Supply
View all episodes
By Harry Stebbings
4.4
478478 ratings
Steeve Morin is the Founder & CEO @ ZML, a next-generation inference engine enabling peak performance on a wide range of chips. Prior to founding ZML, Steeve was the VP Engineering at Zenly for 7 years leading eng to millions of users and an acquisition by Snap.
In Today’s Episode We Discuss:
04:17 How Will Inference Change and Evolve Over the Next 5 Years
09:17 Challenges and Innovations in AI Hardware
15:38 The Economics of AI Compute
18:01 Training vs. Inference: Infrastructure Needs
25:08 The Future of AI Chips and Market Dynamics
34:43 Nvidia's Market Position and Competitors
38:18 Challenges of Incremental Gains in the Market
39:12 The Zero Buy-In Strategy
39:34 Switching Between Compute Providers
40:40 The Importance of a Top-Down Strategy for Microsoft and Google
41:42 Microsoft's Strategy with AMD
45:50 Data Center Investments and Training
46:40 How to Succeed in AI: The Triangle of Products, Data, and Compute
48:25 Scaling Laws and Model Efficiency
49:52 Future of AI Models and Architectures
57:08 Retrieval Augmented Generation (RAG)
01:00:52 Why OpenAI’s Position is Not as Strong as People Think
01:06:47 Challenges in AI Hardware Supply
1,282 Listeners
1,040 Listeners
179 Listeners
1,929 Listeners
2,287 Listeners
339 Listeners
228 Listeners
9,216 Listeners
129 Listeners
125 Listeners
464 Listeners
31 Listeners
21 Listeners
43 Listeners
36 Listeners