Alex Cheema

This talk explores the challenges and opportunities of running advanced AI models locally on consumer hardware. The core thesis is that significant advancements in performance and efficiency are achievable by optimizing the entire AI stack, from hardware and software to model architecture, rather than solely relying on cloud-based solutions. The presentation advocates for a future where powerful AI can be accessed privately and affordably at home.