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Optimizing LLM Inference on SageMaker with BentoML
Read Full Article: Optimizing LLM Inference on SageMaker with BentoML
Enterprises are increasingly opting to self-host large language models (LLMs) to maintain data sovereignty and customize models for specific needs, despite the complexities involved. Amazon SageMaker AI simplifies this process by managing infrastructure, allowing users to focus on optimizing model performance. BentoML’s LLM-Optimizer further aids this by automating the benchmarking of different parameter configurations, helping to find optimal settings for latency and throughput. This approach is crucial for organizations aiming to balance performance and cost while maintaining control over their AI deployments.
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