Fast-Forward from Prototype to Prompt: NVIDIA NIM Agent Blueprints Next Wave of Enterprise Generative AI. NIM Agent Blueprints, backed by the NVIDIA partner ecosystem, provide developers a head start on creating generative AI applications.
The use of generative AI in online services, which offered amazing new possibilities with tools that could help people write, study, and imagine more quickly than ever before, propelled the field’s first wave.
NVIDIA NIM Agent Blueprints
The availability of sophisticated open-source foundation models and developments in agentic AI, which are enhancing the productivity and autonomy of AI processes, have ushered in the second generation of generative AI. Utilizing models like as Google Gemma, Llama 3.1 405B, Microsoft Phi, Mixtral, and Nemotron, enterprises from many sectors may create AI solutions that facilitate corporate expansion and increase efficiency.
Enterprises want blueprints for classical generative AI processes, such as digital human customer service chatbots, retrieval-augmented generation, and drug discovery, in order to expedite business transformation. Although NVIDIA NIM microservices contribute to the efficiency and corporate usability of these models, developing enterprise generative AI applications is a multi-step, complex process.
The NVIDIA NIM Agent Blueprints, which were just released, include with all the tools an enterprise developer needs to create and implement unique generative AI solutions that significantly advance organizational goals.
What Are The NVIDIA NIM Agent Blueprints?
The standard processes for classic generative AI use cases are NVIDIA NIM Agent Blueprints. As part of the NVIDIA AI Enterprise Platform, enterprises may use NIM Agent Blueprints in conjunction with NVIDIA NIM microservices and NVIDIA NeMo framework to construct and operationalize unique AI applications that create data-driven AI flywheels. Partner microservices, one or more AI agents, reference code, customization documentation, and a Helm chart for deployment are all included in the NIM Agent Blueprints.
Are You Prepared to Begin?
Try out an interactive demo of NIM Agent Blueprints in the NVIDIA API catalog.
Obtain Free Practical Experiences
Use the free NVIDIA LaunchPad to access NVIDIA-hosted infrastructure and guided hands-on labs with examples and step-by-step instructions.
Reach Out
Speak with an NVIDIA product professional about using NVIDIA AI Enterprise’s security, stability, and support while transitioning from pilot to production.
Designs for Enterprise Flywheels Driven by Data
The reference AI procedures known as NIM Agent Blueprints are designed for certain use scenarios. They contain reference code, customization documentation, a Helm chart for deployment, and example apps created using NVIDIA NIM and partner microservices.
Developers can get a head start on building their own apps using NIM Agent Blueprints, leveraging NVIDIA’s cutting-edge AI technologies and end-to-end development expertise for any use case. Because of the blueprints’ adaptable and improved architecture, developers may make use of agent-based workflows that can handle intricate tasks in addition to information retrieval.
Throughout the AI lifecycle, developers may enhance their applications with the use of NIM Agent Blueprints. AI apps create fresh data when consumers engage with them. In a continuous learning loop, this data may be utilized to improve and modify the models, resulting in a data-driven generative AI flywheel.
Businesses may create their own generative AI flywheels by using NIM Agent Blueprints to create apps that connect their data and models. This procedure is made easier by NVIDIA NeMo, and the flywheel is operated in production using NVIDIA AI Foundry.
The first NIM Agent Blueprints that may be found are
Computerized human for client support Multimodal PDF data extraction for corporate applications using generative virtual screening for expedited drug discovery RAG Leading company in enterprise AI, ServiceNow has included cutting-edge generative AI features into its digital workflow platform. It is already using the technologies included in the NIM Blueprint for digital human customer care and integrating NIM microservices into its Now Assist AI products.
“They’ve developed new generative AI products and features through our partnership with NVIDIA, which is propelling growth and enabling AI transformation for ServiceNow customers.”
More NIM Agent Blueprints are being developed to create generative AI applications for R&D, retail shopping advisors, software engineering, content production, and customer support. Every month, NVIDIA intends to release new NIM Agent Blueprints.
Enterprise Adoption is Supercharged by the NVIDIA Ecosystem
NIM Agent Blueprints are being made available to businesses worldwide via NVIDIA’s partner ecosystem, which includes global systems integrators and service delivery partners Accenture, Deloitte, SoftServe, Quantiphi, and World Wide Technology.
With the help of tools from NVIDIA’s ecosystem of partners, including Dataiku and DataRobot for model fine-tuning, governance, and monitoring, deepset, LlamaIndex, and Langchain for workflow building, Weights and Biases for generative AI application evaluations, and CrowdStrike, Datadog, Fiddler AI, New Relic, and Trend Micro for extra security, NIM Agent Blueprints can be optimized using customer interaction data. Enterprise solutions from Nutanix, Red Hat, and Broadcom are among the infrastructure platform vendors that will support NIM Agent Blueprints.
On NVIDIA-Certified Systems from manufacturers like Cisco, Dell Technologies, HPE, and Lenovo, as well as on NVIDIA-accelerated cloud instances from Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure, customers can construct and implement NIM Agent Blueprints.
NIM Agent Blueprints may interact with data and storage systems from NVIDIA partners, including Cohesity, Datastax, Dropbox, NetApp, and VAST Data, to assist businesses in using their data in generative AI applications.
A Future of Cooperation Between Data Scientists and Developers
Data scientists and developers are now collaborating more thanks to generative AI. NIM Agent Blueprints serve as a building block for applications created by developers, while data scientists utilize the data flywheel to continuously enhance their unique NIM microservices. Applications that are linked to a NIM also become better as a result, leading to a loop of ongoing data production and improvement.
Almost any organization may easily include generative AI into their applications to promote efficiency and innovation across sectors with the help of NIM Agent Blueprints and NVIDIA’s partners.
