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Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
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NVIDIA has introduced an artificial intelligence foundry service for the development and tuning of custom generative AI applications for enterprises and startups deploying on Microsoft Azure.
The NVIDIA AI foundry service pulls together three elements—a collection of NVIDIA AI Foundation Models, NVIDIA NeMo framework and tools, and NVIDIA DGX Cloud AI supercomputing services—that give enterprises an end-to-end solution for creating custom generative AI models, the company reports. Businesses can then deploy their customized models with NVIDIA AI Enterprise software to power generative AI applications, including intelligent search, summarization and content generation.
“Enterprises need custom models to perform specialized skills trained on the proprietary DNA of their company—their data,” says Jensen Huang, founder and CEO of NVIDIA. “NVIDIA’s AI foundry service combines our generative AI model technologies, LLM training expertise and giant-scale AI factory. We built this in Microsoft Azure so enterprises worldwide can connect their custom model with Microsoft’s world-leading cloud services.”
“Our partnership with NVIDIA spans every layer of the Copilot stack—from silicon to software—as we innovate together for this new age of AI,” says Satya Nadella, chairman and CEO of Microsoft. “With NVIDIA’s generative AI foundry service on Microsoft Azure, we’re providing new capabilities for enterprises and startups to build and deploy AI applications on our cloud.”
NVIDIA’s AI foundry service can be used to customize models for generative AI-powered applications across industries, including enterprise software. Once ready to deploy, enterprises can use a technique called retrieval-augmented generation (RAG) to connect their models with their enterprise data and access new insights.
Customers using the NVIDIA foundry service can pick from several NVIDIA AI Foundation models, including a family of NVIDIA Nemotron-3 8B models hosted in the Azure AI model catalog. Developers can also access the Nemotron-3 8B models on the NVIDIA NGC catalog, as well as community models such as Meta’s Llama 2 models optimized for NVIDIA for accelerated computing, which are also coming soon to the Azure AI model catalog.
Optimized with 8 billion parameters, the Nemotron-3 8B family includes versions tuned for different use cases and have multilingual capabilities for building custom enterprise generative AI applications.
NVIDIA DGX Cloud AI supercomputing is available today on Azure Marketplace. It features instances customers can rent, scaling to thousands of NVIDIA Tensor Core GPUs, and comes with NVIDIA AI Enterprise software, including NeMo, to speed LLM customization.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and…
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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