vLLM’s continuous batching and Dataflow’s model manager optimizes LLM serving and simplifies the deployment process, delivering a powerful combination for developers to build high-performance LLM inference pipelines more efficiently.
Inference with Gemma using Dataflow and vLLM
Related Posts
Google Cloud Next ’24 session library is now available
Google Cloud Next 2024 is coming soon, and our session library is live!Next ‘24 covers a ton of…
CertiDocs – A Blockchain-Based Document Authentication Tool (Looking for Testers!)
Hi everyone, We are developing CertiDocs, a French study project as part of the EIP at Epitech, aimed…
Validating AWS Lambda Code Using AWS Signer
Introduction The practice of digitally signing source code packages for functions and layers is called Lambda code signing.…
