In this episode of the Latent Space Podcast, Chris Lattner from Mojo Modular discusses the evolution of Modular over the past year, highlighting the shift from a research phase to an engineering problem-solving phase. Lattner details the company's focus on heterogeneous compute and simplifying GPU programming, emphasizing their achievement of state-of-the-art performance on NVIDIA GPUs without using CUDA. He explains Modular's product offerings, including the Mojo programming language and the MAX inference framework, and their approach to open source and enterprise solutions. The conversation also covers the challenges of changing conventional wisdom in the AI industry, the importance of modular design, and Lattner's personal experiences as a founder and leader.
