![]() NVIDIA Triton™ Management Service, which helps automate and optimize production deployments.With NeMo, NVIDIA AI Enterprise provides end-to-end support for creating and customizing LLM applications. NVIDIA NeMo™, a cloud-native framework to build, customize and deploy large language models.Newly supported software and tools in NVIDIA AI Enterprise that help streamline generative AI deployment include: It gives businesses the tools needed to adopt generative AI, while also offering the security and API stability required for reliable production deployments. To further accelerate the adoption of generative AI, NVIDIA announced the latest version of its enterprise software platform, NVIDIA AI Enterprise 4.0. New NVIDIA AI Enterprise 4.0 Software Advances AI Deployment Leading AI infrastructure providers - including Dell Technologies, Hewlett Packard Enterprise, HP Inc., Lambda, Lenovo and Supermicro - 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.ĭevelopers with a Windows or Linux-based NVIDIA RTX™ 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. 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. With NVIDIA AI Workbench, developers can customize and run generative AI in just a few clicks. 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. “NVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.” “Enterprises around the world are racing to find the right infrastructure and build generative AI models and applications,” said Manuvir Das, vice president of enterprise computing at NVIDIA. ![]() ![]() The models can then be shared easily across multiple platforms. 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™ using custom data. ![]() 08, 2023 (GLOBE NEWSWIRE) - SIGGRAPH-NVIDIA today announced NVIDIA AI Workbench, a unified, easy-to-use toolkit that allows developers to quickly create, test and customize pretrained generative AI models on a PC or workstation - then scale them to virtually any data center, public cloud or NVIDIA DGX™ Cloud.ĪI Workbench removes the complexity of getting started with an enterprise AI project. New Developer Toolkit Introduces Simplified Model Tuning and Deployment on NVIDIA AI Platforms - From PCs and Workstations to Enterprise Data Centers, Public Clouds and NVIDIA DGX Cloud
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |