The initiative aims to accelerate the development of AI applications by providing enterprises with the necessary tools and frameworks. Partners like Accenture, Cisco, Dell Technologies, Deloitte, Hewlett Packard Enterprise, Lenovo, SoftServe, and World Wide Technology are among the first to support this effort.
This launch is part of NVIDIA's broader strategy to make AI more accessible and customizable for businesses, enabling them to create data-driven AI applications that can be refined continuously based on user feedback.
The first NIM Agent Blueprints now available include a digital human workflow for customer service, a generative virtual screening workflow for computer-aided drug discovery and a multimodal PDF data extraction workflow for enterprise retrieval-augmented generation (RAG) that can use vast quantities of business data for more accurate responses.
NIM Agent Blueprints are free for developers to experience and download and can be deployed in production with the NVIDIA AI Enterprise software platform.
Available Customization Options
The NIM Agent Blueprints offer a range of customization options to help enterprises tailor AI solutions to their specific needs:1. Pretrained Models: Enterprises can start withextension. d models and fine-tune them using their own data to improve accuracy and relevance for their specific use cases.
2. Sample Applications: These provide a starting point that can be modified to fit the unique requirements of different industries and applications.
3. Deployment Tools: The blueprints include tools for deploying AI models in various environments, whether on-premises, in the cloud, or at the edge.
4. Integration Capabilities: Enterprises can integrate these AI solutions with their existing systems and workflows, ensuring seamless operation and data flow.
5. Scalability Options: The blueprints are designed to scale, allowing businesses to expand their AI applications as their needs grow.
These customization options enable businesses to create AI solutions that are not only effective but also aligned with their specific operational goals and challenges.
Examples of NIM Agent Blueprints
1. Digital Human for Customer Service: This blueprint helps create AI-powered digital avatars that can interact with customers, providing support and answering queries in a human-like manner.2. Generative Virtual Screening for Drug Discovery: This blueprint is designed for the pharmaceutical industry to accelerate drug discovery by using generative AI to screen potential drug candidates.
3. Multimodal PDF Data Extraction: This blueprint assists in extracting and processing data from PDFs using multimodal AI techniques, which is particularly useful for enterprise retrieval-augmented generation (RAG) applications.
These blueprints are designed to be customizable and come with pretrained models, sample applications, and deployment tools to help enterprises quickly build and deploy their own AI solutions.
The blueprints provide APIs that allow easy integration with existing software and platforms, enabling smooth data exchange and functionality extension. Additionally, the blueprints are designed to work with a wide range of existing enterprise tools and systems, such as CRM, ERP, and other business applications.
Jensen Huang, founder and CEO of NVIDIA, said, "Generative AI is advancing at lightspeed. Frontier model capabilities are growing exponentially with a continuous stream of new applications. The enterprise AI wave is here. With the NVIDIA AI Enterprise toolkit — including NeMo, NIM microservices and the latest NIM Agent Blueprints — our expansive partner ecosystem is poised to help enterprises customize open-source models, build bespoke AI applications and deploy them seamlessly across any cloud, on premises or at the edge.”
Advertisements