The Marketplace for LLMs in 2024 | CoreWeave

This post details the advancements in the LLM marketplace in 2024, focusing on increased model parameter counts, context lengths, and the emergence of efficient architectures like Mixture-of-Experts and multimodal models. It discusses the growing importance of open-source models and the significant infrastructure demands placed on cloud providers by large-scale AI clusters (e.g., 100,000+ GPUs). The post implicitly reinforces the need for robust AI infrastructure, efficient resource utilization, and cost optimization, aligning with the existing 'AI Workload Total Cost of Ownership (TCO) Evaluation' thread by providing context on the evolving landscape driving these considerations.