VAST Data and NVIDIA Collaborate to Deliver AI Pipelines

VAST Data, an AI operating system company, recently announced the launch of a complete data and compute platform through a collaboration with NVIDIA.

VAST AI Operating System can manage even more pipelines through new collaboration

The VAST AI OS combines with NVIDIA AI Enterprise, including NVIDIA NeMo microservices that power a data flywheel for continuous model improvement, creating a unified environment where AI pipelines can continuously learn, adapt, and improve.

The VAST Data and NVIDIA collaboration allows customers to run continuous and automated AI pipelines, all managed within the VAST AI Operating System.

“AI-powered businesses need thinking machines designed for a future where billions of AI agents learn from their own experiences, fine-tune in real time, and create new possibilities through collaboration,” said Jeff Denworth, co-founder of VAST Data. “By unifying NVIDIA’s AI software and hardware technologies within the core of the VAST AI Operating System, we are giving customers the foundation to operationalize continuous improvements in AI intelligence at scale, with the security, governance, and service delivery tools required to manage these intelligent agents and the data they rely upon.”

This solution gives enterprises a converged software platform for data management, database services, and AI compute orchestration. Through VAST AI OS AgentEngine, feedback is shared by providing the critical capability to map the intricate web of agent-data interactions through production logs.

Interactions-based analysis enables more efficient AI implementation

Through this web of interactions, the flywheel breaks down multi-step interactions to accurately identify which specific elements require adjustment to enhance outcomes, accelerate model performance, and increase accuracy at scale.

European asset servicing firm CACEIS is among the first customers to utilize the system, exploring a real-time AI platform concept designed to securely capture, transcribe, and analyze 100 percent of client meetings.

CACEIS is utilizing the system to instantly generate meeting minutes, surface actionable insights, and deliver anonymized trend data that’s integrated into their sovereign CRM.

“AI will be a game-changer, highlighting trends in current needs by analyzing meeting reports so we can better serve clients,” said Arnaud Misset, the chief digital officer at CACEIS. 

Furthermore, CACEIS is utilizing the VAST AgentEngine, which follows the NVIDIA AI-Q Blueprint, to develop a platform proof of concept that enables AI agents to assist relationship managers in real-time and help uncover new business opportunities. The organization would establish an AI factory, built by NVIDIA NeMo microservices and the NVIDIA data flywheel blueprint, for continuously capturing data and insights from every customer interaction.

Through these feedback loops, ongoing model refinement and training will allow the system to improve and adapt with each meeting.

“Data flywheels leverage each interaction with an AI agent to continuously improve system intelligence and value,” said Karu Briski, VP of generative AI software at NVIDIA. “CACEIS is an exemplary pioneer with a vision of building an agentic AI data flywheel with NVIDIA and VAST to supercharge productivity for financial services in Europe.”

NVIDIA has been a leader in simplifying and making enterprise AI adoption more efficient. Read more about their partnership with major computer companies to help organizations run more advanced AI systems.