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Learn how to implement CPU-based inferencing for language models within the Teradata platform in this comprehensive conference talk from MLOps World. Discover advanced strategies for deploying and optimizing language model inference on CPU infrastructure, exploring the technical considerations and practical approaches for production-scale implementations. Examine the intersection of machine learning operations and database systems, focusing on how Teradata's architecture supports efficient language model processing without GPU dependencies. Gain insights into industry-specific applications, particularly in financial services, and understand the strategic implications of CPU-based inference for enterprise AI deployments. Explore performance optimization techniques, scalability considerations, and best practices for integrating language model capabilities into existing data infrastructure while maintaining operational efficiency and cost-effectiveness.
