While leveraging hosted services initially for Large Language Model (LLM) deployment is cost-effective, scaling operations make self-hosting more economical, offering control and performance advantages, particularly for task-specific models and compliance requirements like GDPR and HIPAA.
Deploying Large Language Models involves challenges like the complexity of LLMs, the need for robust GPU infrastructure, and the rapid pace of technological advancements, with new techniques emerging constantly. Self-hosting is crucial for larger enterprises to have control over deployment.
#large-language-models #deployment-strategies #self-hosting #performance-optimization #compliance-requirements
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