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The landscape of containerized applications has evolved dynamically alongside the exciting growth of generative AI (GenAI) and large language models (LLMs). As organizations embrace these powerful technologies, they have opportunities to optimize container image sizes, model sizes and network performance to enhance their development and deployment life cycle.
AI/machine learning (ML) frameworks enable the creation of feature-rich container images that can expand beyond 10 gigabytes. The size of these images presents opportunities for…
