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SAN JOSE, Calif. – ServiceNow (NYSE: NYSE:), a leader in digital workflow solutions, has expanded its collaboration with NVIDIA (NASDAQ:), a prominent force in artificial intelligence, to enhance the deployment and development of large language models (LLMs) through the use of NVIDIA’s NIM inference microservices. This move positions ServiceNow as one of the initial platform providers to leverage these services, aiming to provide a more efficient and scalable approach to generative AI (GenAI) applications within the enterprise sector.
The announcement, made at the NVIDIA GTC conference, introduces NIM as a component of NVIDIA’s new GenAI microservices suite, designed to refine inference processes in LLMs. ServiceNow plans to incorporate NIM within its Now LLMs, which are specialized for domain-specific applications such as Now Assist, the company’s GenAI experience platform. The integration of NIM is expected to facilitate the expansion of generative AI usage across a broader range of ServiceNow’s customer use cases.
ServiceNow’s Chairman and CEO, Bill McDermott, remarked on the partnership’s potential to drive technological innovation and growth, while NVIDIA’s founder and CEO, Jensen Huang, highlighted the transformative impact of GenAI on business and technology landscapes. The collaboration between ServiceNow and NVIDIA, initiated in May 2023, has already yielded initiatives like AI Lighthouse and industry-specific solutions like Now Assist for Telecommunications Service Management (TSM).
The partnership has also involved cooperation with other tech entities, such as Hugging Face and the Big Code Community, on projects like StarCoder2, a family of open-access LLMs for code generation. NVIDIA itself has adopted ServiceNow’s Now Assist to enhance its IT operations, demonstrating the practical benefits of the technology.
ServiceNow reports significant internal cost savings and productivity enhancements from its GenAI integration, with notable improvements in incident deflection rates and code generation acceptance. The company’s continued investment in its generative AI portfolio aims to enable enterprises to extend the advantages of GenAI across various departments, scaling its impact and accelerating returns on AI investments.
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