A broad new array of generative AI-focused tools for developers is available in Nvidia AI Enterprise 5.0. Credit: Nvidia Version 5.0 of Nvidia’s enterprise-spanning AI software platform will feature a smorgasbord of microservices designed to speed app development and provide quick ways to ramp up deployments, the company announced today at its GPU Technology Conference. These microservices are provided as downloadable software containers used to deploy enterprise applications, Nvidia said in an official blog post. They’re split into two main categories — Nvidia NIM, which covers microservices related to deploying production AI models, and CUDA-X, for microservices like cuOpt, the company’s optimization engine. For NIM microservices the focus is on deployment times for generative AI apps, which the company said can be reduced “from weeks to minutes” with its services. The microservices include Triton Inference Server for standardizing AI model deployment, and TensorRT-LLM to help optimize and define large language models, making it easier for companies to experiment with LLMs without having to delve into C++ or Nvidia CUDA. They’ll be accessible via Amazon SageMaker, Google Kubernetes Engine, and Microsoft Azure AI, and integrations with AI frameworks like Deepset, LangChain and LlamaIndex are also supported. CUDA-X microservices, by contrast, are more focused on data preparation and model training, as well as tools to enable developers to tie their generative AI apps to business data, whether that’s numerical information, text, or images. Other microservices in this category are almost applications of their own, like Nvidia Riva for translation and speech AI, the aforementioned cuOpt for process and routing optimization and Earth-2 for climate and weather simulations. A host of further integrations is also coming to AI Enterprise 5.0, the company said. Business data hosted on Box, Cloudera, Cohesity, Datastax and the like can be used in AI applications as of version 5.0, and Nvidia-powered hardware can be found in servers and PCs from most major vendors, including Dell, HPE and Lenovo. Nvidia described the microservices as a new layer in its full-stack computing platform, connecting model developers with platform providers and enterprises and providing a standardized path for running custom AI models across clouds, data centers, workstations and PCs. Nvidia’s AI Enterprise 5.0 is available for developers to tinker with for free as of now, and enterprise licenses can be purchased for $4,500 per GPU per year, or $1 per GPU per hour in the cloud. Related content brandpost Sponsored by Broadcom How to govern with people-centric planning To succeed with people-centric planning, leaders need to take a different approach to governance. Leaders must produce key metrics and offer the autonomy to determine the best way to achieve those metrics. By Laureen Knudsen, Chief Transformation Officer, AOD, Broadcom May 06, 2024 3 mins Digital Transformation IT Leadership brandpost Sponsored by Avaya Staying agile in the contact center industry: The role of the connected agent A critical part of the “connected agent” strategy includes easy access to SMEs with a user experience that is simple…and AI is a core component. By Omar Javaid, Chief Product Officer, Avaya May 06, 2024 6 mins Digital Transformation news Atos receives four offers of help Rival bids seek to make the company either an integrated IT services powerhouse or a low-cost provider of data centers as a service. By Peter Sayer May 06, 2024 5 mins Managed IT Services Technology Industry feature 7 IT leadership hacks that deliver results From leaning on peers to accepting inconvenient challenges, CIOs offer time-tested, hard-won advice for achieving and sustaining IT and career success. By Paul Heltzel May 06, 2024 10 mins IT Strategy Staff Management IT Leadership PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe