Issue No. 45Week ending Sunday, November 8, 2026806 episodes · 3,521 write-ups
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The $7B Startup Building AI Chips to Challenge Nvidia | Fractile Founder & CEO, Walter Goodwin

With Harry Stebbings, Walter Goodwin · Saturday, November 14, 2026

Walter Goodwin, founder and CEO of AI chipmaker Fractile, breaks down how memory bandwidth bottlenecks limit AI model inference and why 3D stacking DRAM atop logic dies provides a superior architectural alternative to SRAM or standard HBM chips. Goodwin also discusses Fractile's decision to bypass Broadcom, the geopolitical energy crunch facing Western data centers compared to China, and why chip heterogeneity risks creating stranded capacity.

Key takeaways

  • Hyperscalers and startups alike, including Google for TPU, Meta for MTIA (Jalapeno), MatX, and Etched, rely on Broadcom to handle backend physical design and foundry execution. Read more →
  • The primary ceiling on AI expansion has shifted from GPU allocation and wafer supply to grid capacity, physical land, and substation hookups. Read more →
  • Neocloud GPU hosting is commoditizing rapidly because competent hosting providers offer almost zero technical differentiation once clusters are online. Read more →
  • Data centers that pair GPUs like Nvidia Vera Rubin with SRAM chips like Groq face severe utilization mismatches when AI workloads shift. Read more →
  • Model training is shifting into a fixed upfront cost, making inference and test-time compute the primary operational expense of frontier intelligence. Read more →
  • Compute power scaled 1,000,000-fold over the last 25 years, while memory bandwidth improved only 40-fold, creating a 25,000-fold bottleneck. Read more →

6 articles from this episode

Where Value Settles in the AI Stack

Fractile CEO Walter Goodwin explains why neoclouds are commoditizing while custom silicon and model inference co-design capture the profits.

Read article →

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