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generation, hyperscaler capital expenditures, the paradox of building bigger clusters despite claims that pretraining is obsolete, inference-time compute, NVIDIA's comparison to Cisco, evolving memory technology, chip competition, future predictions, & more.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 2026 Produced by Benny Beausoleil Music by Yung Spielberg Available on Apple, Spotify, www.bg2pod.com Follow: Brad Gerstner @altcap Bill Gurley @bgurley Dylan Patel @dylan522p BG2 Pod @bg2pod