{"id":776438,"date":"2023-08-08T16:53:05","date_gmt":"2023-08-08T20:53:05","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-ai-workbench-speeds-adoption-of-custom-generative-ai-for-worlds-enterprises\/"},"modified":"2023-08-08T16:53:05","modified_gmt":"2023-08-08T20:53:05","slug":"nvidia-ai-workbench-speeds-adoption-of-custom-generative-ai-for-worlds-enterprises","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-ai-workbench-speeds-adoption-of-custom-generative-ai-for-worlds-enterprises\/","title":{"rendered":"NVIDIA AI Workbench Speeds Adoption of Custom Generative AI for World\u2019s Enterprises"},"content":{"rendered":"

\nNew Developer Toolkit Introduces Simplified Model Tuning and Deployment on NVIDIA AI Platforms \u2014 From PCs and Workstations to Enterprise Data Centers, Public Clouds and NVIDIA DGX Cloud
\n<\/h2>\n
\n

LOS ANGELES, Aug. 08, 2023 (GLOBE NEWSWIRE) — SIGGRAPH\u2014<\/strong>NVIDIA today announced NVIDIA AI Workbench<\/u><\/a>, a unified, easy-to-use toolkit that allows developers to quickly create, test and customize pretrained generative AI models on a PC or workstation \u2014 then scale them to virtually any data center, public cloud or NVIDIA DGX\u2122 Cloud<\/u><\/a>.<\/p>\n

AI Workbench removes the complexity of getting started with an enterprise AI project. Accessed through a simplified interface running on a local system, it allows developers to customize models from popular repositories like Hugging Face, GitHub and NVIDIA NGC<\/u><\/a>\u2122 using custom data. The models can then be shared easily across multiple platforms.<\/p>\n

\u201cEnterprises around the world are racing to find the right infrastructure and build generative AI models and applications,\u201d said Manuvir Das, vice president of enterprise computing at NVIDIA. \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/p>\n

\n A New Era for AI Developers<\/strong>
\n
While hundreds of thousands of pretrained models are now available, customizing them with the many open-source tools can require hunting through multiple online repositories for the right framework, tools and containers, and employing the right skills to customize a model for a specific use case.<\/p>\n

With NVIDIA AI Workbench, developers can customize and run generative AI in just a few clicks. It allows them to pull together all necessary enterprise-grade models, frameworks, software development kits and libraries from open-source repositories and the NVIDIA AI platform into a unified developer toolkit. <\/p>\n

Leading AI infrastructure providers \u2014 including Dell Technologies, Hewlett Packard Enterprise, HP Inc., Lambda, Lenovo and Supermicro \u2014 are embracing AI Workbench for its ability to augment their latest generation of multi-GPU-capable desktop workstations, high-end mobile workstations and virtual workstations.<\/p>\n

Developers with a Windows or Linux-based NVIDIA RTX\u2122 PC or workstation will also be able to initiate, test and fine-tune enterprise-grade generative AI projects on their local RTX systems, and easily access data center and cloud computing resources to scale as needed.<\/p>\n

\n New NVIDIA AI Enterprise 4.0 Software Advances AI Deployment <\/strong>
\n
To further accelerate the adoption of generative AI, NVIDIA announced the latest version of its enterprise software platform, NVIDIA AI Enterprise 4.0<\/u><\/a>. It gives businesses the tools needed to adopt generative AI, while also offering the security and API stability required for reliable production deployments.<\/p>\n

Newly supported software and tools in NVIDIA AI Enterprise that help streamline generative AI deployment include:<\/p>\n