Domain

Semiconductors

5 episodes

  1. Ep 559

    What is IBM’s nanostack chip architecture?

    IBM announced a new sub-1 nanometer nanostack chip architecture that stacks transistors vertically instead of horizontally, promising nearly double the transistor density of current 2nm chips. Cody leads skeptically: the announcement is a capability claim without shipping proof, and the fabrication challenges—wafer-to-wafer bonding precision, High NA EUV maturity, and unknown yield at volume—are enormous. Justy pushes back: the material-decoupling unlock (optimizing n-type and p-type transistors independently) is real, and for AI accelerators, the power efficiency gains directly address data-center bottlenecks. They land on a shared reading: IBM's architecture is mechanistically sound and the roadmap credible, but this is a research milestone, not a product—and the gap between lab demo and foundry-scale manufacturing is where most announcements die.

  2. Ep 551

    OpenAI and Broadcom unveil LLM Optimized inference chip

    OpenAI and Broadcom unveil Jalapeño, a custom AI inference chip designed for LLM workloads, promising substantial performance-per-watt improvements.

  3. Ep 537

    AMD Delivers Breakthrough MLPerf Training 6.0 Results

    AMD's MLPerf Training 6.0 results show significant performance gains, including a 3.5X generational leap on Llama 2-70B and competitive performance on core LLM workloads, with a focus on multi-node training and platform readiness.

  4. Ep 220

    Netflix Uncovers Kernel Level Bottlenecks While Scaling Containers on Modern CPUs

    Netflix discovered that scaling hundreds of containers simultaneously hits deep kernel-level bottlenecks in the Linux virtual filesystem, where thousands of mount operations create lock contention that varies dramatically across different CPU architectures. Their solution involved redesigning overlay filesystems to reduce mount operations from O(n) to O(1) per container.

  5. Ep 63

    China unveils world's cheapest humanoid robot under $1,400

    The unveiling of Noetix's Bumi, the world’s cheapest humanoid robot at $1,370, is a game-changer in robotics and education. Hosts delve into its features, potential uses, and the broader implications for society.