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Lisa Su

2episodes
2podcasts

We have 2 summarized appearances for Lisa Su so far. Browse all podcasts to discover more episodes.

Featured On 2 Podcasts

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2 episodes
Techmeme Ride Home

CES Day Two

Techmeme Ride Home
22 minAMD CEO

AI Summary

→ WHAT IT COVERS NVIDIA launches Vera Rubin platform claiming five times Blackwell training performance and one-seventh token cost, while AMD counters with MI 500 chips promising 1,000x performance gains. NVIDIA demonstrates Tesla-competitive autonomous driving system in Mercedes. → KEY INSIGHTS - **Vera Rubin Economics:** NVIDIA's new platform trains large mixture-of-experts AI models using one-quarter the GPUs of Blackwell at one-seventh the token cost, with chips already in full production and partner availability starting 2026. - **NVIDIA Autonomous Driving:** NVIDIA's point-to-point Level 2 system navigates San Francisco traffic comparably to Tesla FSD but adds radar redundancy for safety. Automotive division currently represents only 1.2% of $51.2B quarterly revenue. - **AMD OpenAI Partnership:** AMD secures OpenAI as customer for MI 455 processors in data center racks, launching MI 440x enterprise version for non-AI-specific infrastructure and previewing MI 500 chips for 2027 deployment. - **LEGO Smart Brick Platform:** LEGO introduces computer-enabled two-by-four brick with NFC sensors, bluetooth mesh networking, and wireless charging launching March 2025. Executive confirms expansion plans into adult sets beyond initial Star Wars releases. → NOTABLE MOMENT NVIDIA achieved urban autonomous driving capabilities within approximately one year of development, matching functionality that took Tesla roughly eight years to accomplish with Full Self Driving, suggesting rapid acceleration in self-driving technology development timelines. 💼 SPONSORS [{"name": "Wistia", "url": "https://wistia.com/brew"}, {"name": "Plaud", "url": "https://www.google.com/search?q=plaud"}] 🏷️ AI Chips, Autonomous Vehicles, Robotics, Consumer Electronics

AI Summary

→ WHAT IT COVERS AMD CEO Lisa Su challenges NVIDIA's 90% dominance in AI chips through strategic pivots toward inference computing, securing a landmark OpenAI deal that could value AMD at one trillion dollars. → KEY INSIGHTS - **Market repositioning strategy:** Su executed two major company pivots—first from PC chips to data center computing in 2014, then to AI-focused products in late 2022, eating Intel's market share before targeting NVIDIA's dominance. - **Inference computing focus:** AMD targets inference computing (running AI models) rather than training, positioning for the larger long-term market as NVIDIA's CEO estimates 90% of future computing power demand will be for inference applications, not model training. - **Circular financing structure:** AMD's OpenAI deal offers shares at one cent each if deployment milestones are met, with full 10% equity stake requiring AMD stock to reach 600 dollars per share, implying one trillion dollar valuation and complete alignment of incentives. - **Market expansion thesis:** Su projects AI computing market will reach one trillion dollars annually, arguing current investment phase requires bold bets and that underinvesting poses greater risk than overinvesting, despite bubble concerns from circular financing arrangements. → NOTABLE MOMENT Su revealed to her board in late 2022 that she would pivot the entire company toward artificial intelligence after recognizing it as a once-in-a-lifetime opportunity, fundamentally restructuring AMD's complete product line around AI computing. 💼 SPONSORS [{"name": "Workday", "url": null}, {"name": "HBO Max", "url": "applecard.com"}, {"name": "Apple Card", "url": "applecard.com"}, {"name": "Zoom", "url": "zoom.com/podcast"}] 🏷️ AI Chips, Semiconductor Industry, Inference Computing, Tech Leadership

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