Dive into a 53-minute podcast episode featuring Andrew Feldman, CEO of Cerebras Systems, as he discusses the latest advancements in AI inference technology with host Lukas Biewald. Explore groundbreaking innovations in wafer-scale chips, setting new benchmarks in speed, accuracy, and cost efficiency for AI workloads. Gain insights into architectural innovations, real-world applications, and the balance between speed and accuracy in AI inference. Examine challenges in overcoming latency issues, the future of AI in production environments, and competition with industry giants. Delve into discussions on open source vs. closed source in AI development and the impact of AI on chip manufacturing. Access this comprehensive look at cutting-edge AI hardware and its implications for the future of machine learning through various podcast platforms.
Advancements in AI Inference Technology - Cerebras Systems' Wafer-Scale Chips
Overview
Syllabus
- Introduction
- Cerebras Systems' Latest Product Announcement
- The Challenges of AI Inference
- Architectural Innovations in Wafer-Scale Chips
- Real-World Applications of AI Inference
- Speed vs. Accuracy: Striking the Balance
- Overcoming Latency Issues
- The Future of AI in Production Environments
- Competing with Industry Giants
- Open Source vs. Closed Source in AI Development
- The Impact of AI on Chip Manufacturing
- Final Thoughts and Takeaways
Taught by
Weights & Biases
