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 opinion The cyber pandemic: AI deepfakes and the future of security and identity verification Attackers have seen huge success using AI deepfakes for injection and presentation attacks – which means we’ll only see more of them. Advanced technology can help prevent (not just detect them). By Aaron Painter May 02, 2024 5 mins Artificial Intelligence Security brandpost Sponsored by Cisco Transform the modern data center: From today to the future Embrace agility, elasticity, and cognitive intelligence capabilities for a data center strategy that’s performance-ready and sustainable for the future. By Murali Gandluru May 02, 2024 4 mins Networking brandpost Sponsored by TCS and Microsoft 5 keys to optimizing ROI on your Cloud Center of Excellence 5 keys to optimizing ROI on your Cloud Center of Excellence CoE adoption is on the rise – but success means evaluating relevance, staying connected, building a strong team, continuous innovation, and transforming culture. By Tata Consultancy Services May 02, 2024 2 mins Manufacturing Industry Cloud Computing brandpost Sponsored by TCS and Microsoft Best practice advice for improving productivity while maintaining security The modern “borderless workplace” requires a new strategy. Microsoft and TCS are answering the challenge with innovation solutions. By Tata Consultancy Services May 02, 2024 1 min Manufacturing Industry Microsoft Cloud Computing 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