Getting Started with GPU-Powered Milvus: Unlocking 10x Higher Performance

Milvus 2.3 introduces GPU support, unlocking a 10x increase in throughput and significant reductions in latency. This strategic innovation is aimed at enhancing vector searching capabilities, particularly with the rise of Large Language Models (LLMs) like GPT-3. The integration of Milvus and NVIDIA GPUs allows for efficient searching through massive datasets and expands the AI landscape. To get started with the Milvus GPU version, users need to install CUDA drivers, configure Milvus GPU settings, build Milvus locally, and run it in standalone mode or using a provided docker-compose file.