ServiceNow and NVIDIA Introduce 15B-Parameter AI for Service Teams

NewsServiceNow and NVIDIA Introduce 15B-Parameter AI for Service Teams

Accelerating Enterprise AI: A New Era with ServiceNow and NVIDIA

In a significant stride towards advancing artificial intelligence (AI) in the business realm, ServiceNow has partnered with NVIDIA to introduce a groundbreaking reasoning model aimed at enhancing enterprise AI capabilities. This collaboration promises to revolutionize how AI agents operate, offering real-time responses, handling intricate workflows, and efficiently scaling IT, HR, and customer service functions globally.

Unveiled at the prestigious ServiceNow Knowledge 2025 event, this innovative AI model, known as Apriel Nemotron 15B, was introduced by NVIDIA CEO Jensen Huang alongside ServiceNow CEO Bill McDermott during a keynote session. Apriel Nemotron 15B is engineered to be compact, cost-effective, and action-oriented, propelling enterprise large language models (LLMs) into their next evolutionary phase.

The development of Apriel Nemotron 15B utilized NVIDIA NeMo, an open-source framework, alongside NVIDIA’s Llama Nemotron Post-Training Dataset and data specific to ServiceNow’s domain. The model was trained on NVIDIA DGX Cloud, a high-performance cloud infrastructure hosted on Amazon Web Services (AWS). This ensures that Apriel Nemotron 15B is not only accurate but also optimized for speed, efficiency, and scalability, making it suitable for powering AI agents capable of managing thousands of concurrent enterprise workflows.

A Compact Model with a Big Impact

Apriel Nemotron 15B stands out for its ability to perform complex reasoning tasks such as drawing inferences, setting priorities, and adhering to rules in real time. Despite its smaller size compared to some modern general-purpose LLMs that can exceed a trillion parameters, it delivers quicker responses and reduces inference costs without compromising on enterprise-level intelligence.

The post-training of this model on NVIDIA DGX Cloud, hosted on AWS, leverages a robust infrastructure to expedite its development, ensuring it meets the demands of modern enterprises seeking fast, efficient, and scalable AI solutions.

Continuous Learning with a Closed-Loop System

In addition to the model itself, ServiceNow and NVIDIA have introduced a novel data flywheel architecture. This system integrates ServiceNow’s Workflow Data Fabric with NVIDIA NeMo microservices, including the NeMo Customizer and NeMo Evaluator. This architecture supports a closed-loop process that enhances AI performance by utilizing workflow data to tailor responses and improve accuracy over time. Importantly, this system includes guardrails to ensure that customers maintain control over how their data is used, ensuring security and compliance.

Transforming Complexity into Clarity

During the keynote demonstration, ServiceNow showcased how these intelligent models have been implemented in real enterprise scenarios, such as at AstraZeneca. Here, AI agents assist employees in resolving issues and making decisions more swiftly and accurately, effectively returning 90,000 hours back to employees. This demonstrates the potential of Apriel Nemotron 15B to transform complex workflows into streamlined processes, enhancing productivity across organizations.

Jon Sigler, Executive Vice President of Platform and AI at ServiceNow, emphasized the unique capabilities of Apriel Nemotron 15B, stating, “The Apriel Nemotron 15B model, developed by two leading enterprise AI companies, features purpose-built reasoning to power the next generation of intelligent AI agents. This model combines real-time enterprise data, workflow context, and advanced reasoning to help AI agents drive real productivity, surpassing what generic models can achieve.”

Kari Briski, Vice President of Generative AI Software at NVIDIA, added, “Together with ServiceNow, we’ve developed an efficient, enterprise-ready model that fuels a new class of intelligent AI agents capable of reasoning to enhance team productivity. By utilizing the NVIDIA Llama Nemotron Post-Training Dataset and ServiceNow domain-specific data, Apriel Nemotron 15B delivers advanced reasoning capabilities in a smaller size, making it faster, more accurate, and cost-effective to run.”

Scaling the AI Agent Era

This collaboration marks a significant shift in enterprise AI strategy. Businesses are transitioning from static models to intelligent systems capable of evolving. This partnership between ServiceNow and NVIDIA is an important milestone in the advancement of agentic AI across various industries. For businesses, this means faster resolution times, enhanced productivity, and more responsive digital experiences. For technology leaders, it offers a model that meets current performance and cost requirements while being scalable to accommodate growing needs.

Availability

ServiceNow AI Agents, powered by Apriel Nemotron 15B, are anticipated to be available following the Knowledge 2025 event. The model will underpin ServiceNow’s Now LLM services and serve as a central component of the company’s agentic AI offerings.

For those interested in learning more about this launch and understanding how NVIDIA and ServiceNow are shaping the future of enterprise AI, Knowledge 2025 provides an excellent platform to explore these advancements further.

In conclusion, the collaboration between ServiceNow and NVIDIA represents a significant leap forward in the realm of enterprise AI. By developing a model that combines efficiency, advanced reasoning, and scalability, they are setting the stage for a new era of intelligent AI agents that promise to transform industries by enhancing productivity and streamlining complex workflows. As enterprises worldwide begin to adopt these innovations, the potential for AI-driven transformation in business processes is immense, making this an exciting time for technology enthusiasts and industry leaders alike.

For more Information, Refer to this article.

Neil S
Neil S
Neil is a highly qualified Technical Writer with an M.Sc(IT) degree and an impressive range of IT and Support certifications including MCSE, CCNA, ACA(Adobe Certified Associates), and PG Dip (IT). With over 10 years of hands-on experience as an IT support engineer across Windows, Mac, iOS, and Linux Server platforms, Neil possesses the expertise to create comprehensive and user-friendly documentation that simplifies complex technical concepts for a wide audience.
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