Andrew Feldman

Andrew Feldman, Co-founder and CEO of Cerebras, shares deep insights into the AI chip landscape. He discusses how NVIDIA's strengths have become liabilities and why claims of reaching scaling laws in AI are misleading. Delving into the cost of inference, Feldman highlights the inefficiencies of algorithms and the necessity for a shift in AI architecture. He believes we underestimate China's tech advancements and critiques current U.S. policies in the realm of hardware export controls. Expect a thought-provoking analysis of AI's future and market dynamics!

Andrew Feldman, CEO and Co-founder of Cerebras Systems, shares his expertise on revolutionizing AI with the world's largest AI processor. He discusses the ongoing GPU supply crisis and presents Cerebras' innovative solutions. The conversation covers breakthrough data flow architecture that enhances AI workloads, and the importance of real-world benchmarks in chip performance. Feldman also highlights the need for fine-tuning AI models with unique data and addresses the challenges of cultural representation in AI.

On this episode, we’re joined by Andrew Feldman, Founder and CEO of Cerebras Systems. Andrew and the Cerebras team are responsible for building the largest-ever computer chip and the fastest AI-specific processor in the industry.We discuss:- The advantages of using large chips for AI work.- Cerebras Systems’ process for building chips optimized for AI.- Why traditional GPUs aren’t the optimal machines for AI work.- Why efficiently distributing computing resources is a significant challenge for AI work.- How much faster Cerebras Systems’ machines are than other processors on the market.- Reasons why some ML-specific chip companies fail and what Cerebras does differently.- Unique challenges for chip makers and hardware companies.- Cooling and heat-transfer techniques for Cerebras machines.- How Cerebras approaches building chips that will fit the needs of customers for years to come.- Why the strategic vision for what data to collect for ML needs more discussion.Resources:Andrew Feldman - https://www.linkedin.com/in/andrewdfeldman/Cerebras Systems - https://www.linkedin.com/company/cerebras-systems/Cerebras Systems | Website - https://www.cerebras.net/Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#OCR #DeepLearning #AI #Modeling #ML

Andrew D. Feldman, Co-founder and CEO of Cerebras Systems, discusses the revolutionary impact of their wafer-scale engine on AI inference technology. He highlights record-breaking inference speeds and the shift from GPUs to custom architectures. The conversation includes the significance of fast inference in enterprise workflows and the competitive landscape with giants like OpenAI. Feldman also touches on climate initiatives involving AI and the importance of partnerships with supercomputing centers. Discover how Cerebras is reshaping the future of AI.

Andrew Feldman, CEO of Cerebras, discusses building the Wafer Scale Engine Three, the world's largest chip for AI. They talk about making big bets in hardware innovation, the evolution of AI chips, and the impact of AI on various industries like healthcare and daily life.