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This week, IT leader NVIDIA announced that it would be teaming with U.S. technology leaders to help organizations create custom AI applications using NVIDIA NIM Agent Blueprints, NVIDIA NeMo, and NVIDIA NIM microservices, among other announcements.

Tech leaders– including Accenture, Deloitte, Quantiphi, and SoftServe– are adopting NVIDIA’s microservices to assist clients in healthcare, manufacturing, telecommunications, financial services, and retail to create custom GenAI agents and copilots. Additionally, Cadence, Cloudera, DataStax, Google Cloud, NetApp, SAP, ServiceNow, and Teradata are all utilizing NVIDIA NIM to advance their own data and AI platforms.

“AI is driving transformation and shaping the future of global industries,” said Jensen Huang, founder and CEO of NVIDIA. “In collaboration with U.S. companies, universities, and government agencies, NVIDIA will help advance AI adoption to boost productivity and drive economic growth.”

NVIDIA also announced a new private-public partnership initiative in the city of Pittsburgh, Pa. and a new NVIDIA NIM Agent Blueprint for software security.

NVIDIA NeMo microservices for AI

To help enterprises bring custom AI applications to market faster and reduce development costs, NVIDIA announced it will be assisting them through new NeMo microservices to support end-to-end model customization workflows and the development of AI agents.

These new microservices, called NeMo Customizer, NeMo Evaluator, and NeMo Guardrails, can be paired with NIM microservices to assist developers in easily curating data at scale, customizing and evaluating models, and managing responses to align with business objectives.

Further, developers will be able to then seamlessly deploy a custom NIM microservice across any GPU-accelerated cloud, data center, or workstation.

Among the early use cases for the NeMo microservices include Accenture leveraging the technology to help clients build domain-specific AI agents with NVIDIA NeMo and NIM microservices through its AI Refinery and the Accenture NVIDIA Business Group.

Deloitte, meanwhile, is integrating the latest NVIDIA NIM Agent Blueprint into its cybersecurity solutions to help enterprises accelerate software vulnerability analysis and mitigation at scale.

Elsewhere, NVIDIA AI ecosystem partners are using NeMo and NIM microservices to build customized GenAI applications with optimized inference, including the following:

  • Cloudera announced an AI Inference Service with embedded NIM that allows developers to build, customize, and deploy enterprise-grade large language models (LLMs) with up to 36x faster inference performance.
  • Google Cloud is integrating NIM into Google Kubernetes Engine to provide enterprise customers with a simplified path for deploying optimized models directly from the Google Cloud Marketplace.
  • SAP will use NIM microservices to deploy custom GenAI applications for its clients.
  • ServiceNow announced that it plans to adopt NVIDIA NIM Agent Blueprints to power GenAI use cases for several U.S. government agencies.
  • Teradata will be integrating NVIDIA AI Enterprise into its Vantage platform to enable more efficient development and deployment of trusted GenAI applications.

Microservices for custom AI agents across industries

Organizations across various industries, such as AT&T, Lowe’s, and the University of Florida, are using these microservices to create their own data-driven AI flywheels to power custom GenAI applications.

“These are horizontal use cases that we want to highlight around employee productivity, customer satisfaction, and student learning,” said Bob Pette, NVIDIA VP of Enterprise Platforms, in a press briefing. “Human learning is one of the biggest reasons we’re here in D.C.– to help bring AI and make it more consumable, more translatable or understandable, and useful to all of us on the planet.”

AT&T is working with Quantiphi to build a conversational platform by utilizing NVIDIA NIM, which will support employees with software development, network engineering, and financial services tasks.

The University of Florida is adopting NVIDIA NIM and NeMo to advance its learning management system, based on retrieval-augmented generation, that helps teaching assistants improve student access and retention.

Further, Lowe’s, a home improvement company, will be using NVIDIA NIM and NeMo microservices to improve experiences for associates and customers to enhance productivity for store associates.

The news came at the NVIDIA AI Summit in Washington, D.C., where they made additional announcements, including the latest NIM blueprint for cybersecurity that uses NIM, Morpheus, and NVIDIA RAPIDS to reduce the time it takes to analyze common vulnerabilities and exposures. A process that used to take days will now take mere seconds.

Blueprint for software security

As AI transforms cybersecurity with new GenAI tools and capabilities, NVIDIA will be offering the new NIM Agent Blueprint– reference workflows that provide a guide for developing applications built with NVIDIA NeMo and NIM microservices.

“This blueprint uses NIM, Morpheus, and NVIDIA RAPIDS to drastically reduce the time it takes to analyze Common Vulnerabilities and Exposures (CVEs),” Pette said. “What used to take days can now be accomplished in just seconds.”

Among the first to use the NVIDIA NIM Agent Blueprint is consulting giant, Deloitte, for container security in its cybersecurity solutions, which supports agentic analysis of open-source software to help enterprises build secure AI.

“Cybersecurity has emerged as a critical pillar in protecting digital infrastructure in the U.S. and around the world,” said Mike Morris, managing director, Deloitte & Touche LLP. “By incorporating NVIDIA’s NIM Agent Blueprint into our cybersecurity solutions, we’re able to offer our clients improved speed and  accuracy in identifying and mitigating potential security threats.”

Boosting innovation through public-private partnerships

NVIDIA also announced that it is establishing two new joint research centers in the U.S. focused on AI innovation. Partnering with Carnegie Mellon University (CMU) and the University of Pittsburgh, as well as with startups, enterprises, and organizations in Pittsburgh, Pa., are part of NVIDIA’s new AI Tech Community initiative.

The aim for the initiative is to supercharge public-private partnerships across communities with the potential to enable technological transformations utilizing AI.

The joint center with CMU will focus on robotics, autonomy, and AI to help equip higher education faculty, students, and researchers with the latest technologies, as well as boost innovation in the fields of AI and robotics.

Meanwhile, the University of Pittsburgh will establish a joint center with NVIDIA for AI and intelligent systems that will focus on computational opportunities across health sciences, including applications of AI in clinical medicine and biomanufacturing.

“This AI Tech Community in Pittsburgh will focus holistically across the entire ecosystem, from academia and industry to public sector, creating a public-private collaboration to accelerate AI advances from the innovation and research stage into the fully commercialization stage,” Pette said. “We’ll engage our Inception Program and Connect Program to engage startups and work with small businesses as we collaborate with these wonderful technology accelerators in Pittsburgh.”

NVIDIA and its partnerships are staying at the forefront of AI development. Read more about how the company is using those partnerships to help organizations scale AI adoption.

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