Navigating AI Training and Inference Challenges

This chapter examines an organization's dual focus on pre-training and inference within the AI ecosystem, addressing the complexities and costs of model training. It highlights the importance of differentiating among model providers and emphasizes the need for seamless hardware-software integration. Additionally, the discussion covers the evolution of software stacks for AI, addressing the challenges faced in optimizing performance across diverse hardware platforms.