Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by BG2Pod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BG2Pod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

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

1:29:41
 
Share
 

Manage episode 457195523 series 3555190
Content provided by BG2Pod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BG2Pod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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generation, hyperscaler capital expenditures, the paradox of building bigger clusters despite claims that pretraining is obsolete, inference-time compute, NVIDIA's comparison to Cisco, evolving memory technology, chip competition, future predictions, & more.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

Available on Apple, Spotify, www.bg2pod.com

Follow:

Brad Gerstner @altcap

Bill Gurley @bgurley

Dylan Patel @dylan522p

BG2 Pod @bg2pod

  continue reading

32 episodes

Artwork
iconShare
 
Manage episode 457195523 series 3555190
Content provided by BG2Pod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BG2Pod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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

Available on Apple, Spotify, www.bg2pod.com

Follow:

Brad Gerstner @altcap

Bill Gurley @bgurley

Dylan Patel @dylan522p

BG2 Pod @bg2pod

  continue reading

32 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play