Presentation: Modern Compute Stack for Scaling Large AI/ML/LLM Workloads

Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized?

ai artificial intelligence compute cpus distributed fine-tuning gpus infrastructure large models llm machine learning ml & data engineering modern performance & scalability presentation qcon san francisco 2023 scale scaling stack training transcripts workloads