Peter Buckingham is the Senior VP of Software at D-Matrix - their aim is to complement AI chip giants such as Nvidia, whose chips are used to train AI systems on huge amounts of data.
- We explore the competitive landscape of AI chips, focusing on the key differences between training and inference.
- Discover how companies like D Matrix are challenging NVIDIA’s dominance in the data center inference market by offering cost-effective and performance-driven solutions.
- We discuss the evolution of AI hardware, the challenges of Moore’s Law, and the innovations driving the next generation of AI chips, such as in-memory computing.
- Gain insights into the software ecosystem, the role of frameworks like PyTorch, and the future of AI infrastructure.
- Plus, we touch on the implications of AGI, data concerns in AI model training, and the importance of building high-performing teams in the rapidly evolving AI landscape.
🎧 You can also listen directly to the episode on YouTube, Spotify, or Apple Podcasts.
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Barry.
