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.
Looking for production-grade AI? Look no further than our new RAG 2.0. Thrilled to share what we have been working on. https://t.co/w6gbwoiX1d
We're excited to announce several new #GenerativeAI features designed to help enterprises realize the full potential of AI with #automation!
Today, we’re excited to announce RAG 2.0, our end-to-end system for developing production-grade AI. Using RAG 2.0, we’ve created Contextual Language Models (CLMs), which achieve state-of-the-art performance on a variety of industry benchmarks. CLMs outperform strong RAG… https://t.co/hbXtoyem7j
DataStax + NVIDIA team up to deliver GenAI apps with fast embeddings! We're expanding the spectrum of RAG use cases -seamlessly integrating NVIDIA NIM + NVIDIA NeMo Retriever microservices directly into DataStax. Full scoop here: https://t.co/gsP2g2yJab #AI #DataStax #NVIDIA
🤝 Our Integration With NVIDIA NIM for GPU-optimized LLM Inference in RAG As enterprises turn their attention from prototyping LLM applications to productionizing them, they often want to turn from third-party model services to self-hosted solutions. We’ve seen many folks… https://t.co/A0vFP1Bv8T
🚀 Unlock the power of #generativeAI with new NVIDIA NeMo microservices. Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented generation (#RAG), and accelerated performance. https://t.co/lg2JRe2MHt https://t.co/uP29iXqp0q
Just announced in the @NVIDIAGTC keynote! Our RAG-optimized Command-R model, designed for businesses to get into large-scale production, is coming to the NVIDIA API catalog. We’re excited to deepen our collaboration with @NVIDIA to deliver powerful AI solutions for the…
Faster embeddings. ⚡️Faster indexing.⚡️ At 80% lower cost. By integrating @NVIDIA microservices (NIMs), we're able to deliver high-performance RAG solutions to fuel real-time GenAI use cases. Learn about the exciting collaboration! ⬇️ #GTC24 #VectorDB https://t.co/SI7hFcARTT
Just announced at #GTC24 💡 New AI microservices for developing and deploying enterprise-grade #generativeAI 💻. Explore them now at https://t.co/Z8ApUtzRP9 and get access to PTMs, data processing, #LLM customization, inference, RAG, and guardrails. https://t.co/tRE4ySV2us https://t.co/lF1jU5tgjq
The latest update to the NVIDIA AI Enterprise software platform includes easy-to-use microservices, tools to build retrieval augmented generation (RAG) applications, and access to the NVIDIA API catalog to accelerate your #generativeAI journey. https://t.co/7tq14w8OK3 https://t.co/eQxrxz4dpU
Just announced at #GTC24 💡New AI microservices for developing and deploying enterprise-grade #generativeAI 💻. Explore them now at https://t.co/0vbDpHsbmg and get access to PTMs, data processing, #LLM customization, inference, RAG, and guardrails. https://t.co/wXGUoz7jsx https://t.co/XPVj7tlzuA