The Stack Overflow Podcast Improving on a 30-year-old hardware architecture
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May 2, 2025 Rodrigo Liang, Co-founder and CEO of SambaNova Systems, delivers insights about a revolutionary AI platform and an intelligent chip capable of managing models with up to five trillion parameters. He discusses the critical importance of historical data in AI and the pitfalls businesses face in leveraging it. Liang also dives into the efficiencies of open-source technology and how it empowers developers. Additionally, he highlights the challenges in AI trust and the necessity for increased literacy as we navigate the complexities of future technologies.
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Data Flow Architecture Advantage
- SambaNova uses a data flow architecture radically different from 30-year-old core-based chip designs.
- This allows direct streaming of computations kernel-to-kernel, making neural net processing simpler and more efficient.
Natural Neural Net Computation
- Traditional hardware chops neural nets into pieces to feed cores sequentially, causing overhead.
- Data flow hardware aligns computation with the neural net's natural operator flow, eliminating extra steps.
Choose Open Source AI Models
- Use open source AI models for innovation velocity and ownership.
- Open source enables enterprises and governments to own and control their AI without vendor lock-in.