NVIDIA has introduced new AI microservices at #GTC24 for developing and deploying enterprise-grade generativeAI, including PTMs, data processing, LLM customization, inference, RAG, and guardrails. The latest update to the NVIDIA AI Enterprise software platform offers easy-to-use microservices and tools for building retrieval augmented generation (RAG) applications. Companies like LangChainAI and DataStax are integrating NVIDIA microservices for high-performance RAG solutions, while cohere is bringing its RAG-optimized Command-R model to the NVIDIA API catalog. NVIDIA NeMo microservices are also launched to deliver enterprise-ready models with precise data curation, customization, RAG, and accelerated performance. ContextualAI announces RAG 2.0, an end-to-end system for developing production-grade AI, achieving state-of-the-art performance with Contextual Language Models (CLMs). UiPath introduces new GenerativeAI features for enterprises.