VAST Data Unveils AI OS to Power Evolving AI Agents
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VAST Data, the AI Operating System company, has announced a complete data and compute platform that enables continuous AI intelligence evolution.
The VAST AI OS, integrated with NVIDIA AI Enterprise and NeMo microservices, powers a self-optimizing AI flywheel. This creates a unified environment where AI pipelines can learn, adapt, and improve at scale.
The platform delivers: A converged software solution for data management, database services, and AI compute orchestration.
AgentEngine, a tool offering feedback by mapping complex agent-data interactions through production logs.
This approach allows enterprises to identify and adjust key performance elements, boosting model accuracy and learning speed.
Jeff Denworth, Co-Founder of VAST Data, said the solution supports businesses building 'thinking machines' that fine-tune in real time and collaborate to generate new outcomes.
By integrating NVIDIA's software and hardware within the VAST AI OS, the company enables customers to manage AI agents and data with security, governance, and service tools.
As AI moves into real-time, always-on infrastructure, enterprises require systems that evolve with each data point while addressing security and governance for decentralized pipelines and agent interactions.
This collaboration enables automated AI workflows from ingestion to inference and retraining within the VAST AI Operating System.
CACEIS, one of Europe's largest asset servicing firms, is among the first adopters. In partnership with VAST and NVIDIA, it is exploring a real-time AI platform that: Captures and analyzes 100% of client meetings.
Instantly generates meeting minutes and insights.
Integrates anonymized data into a secure CRM.
The platform features an end-to-end security model to protect privacy and ensure data integrity.
CACEIS is also using VAST's AgentEngine with NVIDIA AI-Q Blueprint to develop AI agents that support relationship managers and reveal business opportunities. These agents will use NeMo microservices to refine models through continuous feedback and shared intelligence.
Kari Briski, Vice President of Generative AI Software at NVIDIA, showcased this capability at GTC Europe in Paris. The demo highlighted the role of data flywheels in enhancing system intelligence.
Briski stated that CACEIS is a pioneer in building agentic AI systems with NVIDIA and VAST to boost productivity in financial services.
VAST Data's solution represents a shift from static models to dynamic AI ecosystems. These systems require scalable infrastructure and strict governance to support evolving intelligent agents across enterprise environments.
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