A developer's toolkit for SOTA AI
Practical AI
Navigating GPU Challenges in AI Development
This chapter explores the complexities of GPU software development, particularly the limitations of GPU virtualization and the soaring demands of deep learning applications. The discussion highlights the evolution from traditional AI models to generative AI, emphasizing the implications for GPU resource utilization and software solutions like Codium. Additionally, it addresses the importance of trust and safety in machine learning infrastructure, particularly for enterprise use.
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