AI Semiconductor Landscape feat. Dylan Patel | BG2 w/ Bill Gurley & Brad Gerstner

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week they are joined by Dylan Patel, Founder & Chief Analyst at SemiAnalysis, to discuss origins of SemiAnalysis, Google's AI workload, NVIDIA's competitive edge, the shift to GPUs in data centers, the challenges of scaling AI pre-training, synthetic data generation, hyperscaler capital expenditures, the paradox of building bigger clusters despite claims that pretraining is obsolete, inference-time compute, NVIDIA's comparison to Cisco, evolving memory technology, chip competition, future predictions, & more. Enjoy another episode of BG2!Timestamps:(00:00) Intro(01:50) Dylan Patel Backstory(02:36) SemiAnalysis Backstory(04:18) Google's AI Workload(06:58) NVIDIA's Edge(10:59) NVIDIA's Incremental Differentiation(13:12) Potential Vulnerabilities for NVIDIA(17:18) The Shift to GPUs: What It Means for Data Centers(22:29) AI Pre-training Scaling Challenges(29:43) If Pretraining Is Dead, Why Bigger Clusters?(34:00) Synthetic Data Generation(36:26) Hyperscaler CapEx(38:12) Pre-training and Inference-tIme Reasoning(41:00) Cisco Comparison to NVIDIA(44:11) Inference-time Compute(53:18) The Future of AI Models and Market Dynamics(01:00:58) Evolving Memory Technology(01:06:46) Chip Competition(01:07:18) AMD(01:10:35) Google’s TPU(01:14:51) Amason’s Tranium(01:17:33) Predictions for 2025 and 2026Produced by Benny BeausoleilMusic by Yung SpielbergAvailable on Apple, Spotify, www.bg2pod.comFollow:Brad Gerstner @altcapBill Gurley @bgurleyDylan Patel @dylan522pBG2 Pod @bg2pod

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