fromTheregister1 month agoHow to deploy LLMs in productionScaling AI models from local tests to production involves managing significant resource requirements, with models needing up to 40GB of GPU memory for handling multiple requests efficiently.Artificial intelligence
Data sciencefromHackernoon2 months agoTurbocharging AI Sentiment Analysis: How We Hit 50K RPS with GPU Micro-services | HackerNoonTransforming from a monolithic to a microservices architecture significantly improved our sentiment analysis system's scalability and efficiency.