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Nvidia Sets Sights On Open-Source AI Agents With NemoClaw Platform

Nvidia is preparing to reshape the future of artificial intelligence with its upcoming open-source platform, NemoClaw, according to a recent report by Wired. This strategic initiative aims to empower enterprise software companies through advanced AI agents capable of executing complex tasks and improving operational efficiency.

Strategic Shift In AI Development

Nvidia, a leader in graphics processing and increasingly influential in the AI landscape, is pivoting towards specialized AI agents that reason, plan, and act independently. The planned NemoClaw platform represents a significant step forward, offering an open-source approach that enables collaborative innovation. Enterprise partners who contribute to the platform’s development are expected to receive early, complimentary access, positioning them at the forefront of AI transformation.

Enterprise Partnerships And Ecosystem Expansion

Sources indicate that Nvidia is actively courting leading enterprises, including Salesforce, Cisco, Google, Adobe, and CrowdStrike. While the specifics of these potential partnerships have not yet been finalized, the initiative underscores the growing demand from companies for AI tools that securely manage and automate multifaceted business processes, irrespective of underlying hardware.

Balancing Innovation With Security

The open-source structure of NemoClaw is intended to support wider adoption of AI agent technology while maintaining security and privacy standards for enterprise users. Some analysts note that similar projects have raised concerns about security risks. Tools designed to automate complex tasks can also introduce vulnerabilities if they interact with sensitive data or enterprise systems. Nvidia CEO Jensen Huang has previously described AI agents as an important development for enterprise software.

Broader Implications For The AI Industry

Nvidia has increased investment in AI agents as companies explore alternatives to relying exclusively on large language models. Recent releases from Nvidia include models such as Nemotron and Cosmos as well as updates to the NeMo platform. These tools are designed to support AI development from data preparation to model deployment.

Looking Ahead

Nvidia is expected to provide additional information about NemoClaw during its annual developer conference in San Jose next week. The platform is intended to support enterprise adoption of AI agents and expand the company’s software ecosystem.

Eurobank Plans €1 Billion Investment In AI And Digital Banking By 2028

Eurobank plans to invest about €1 billion in technology from 2025 through 2028, its largest technology investment program to date. The Banking Forward strategy focuses on digital banking, artificial intelligence, customer experience and a “phygital” model combining digital services with face-to-face support.

Digital Banking Dominates Customer Activity

Digital channels already account for 96% of Eurobank transactions, with 61% completed through the Eurobank Mobile App. Among customers aged 35 and under, digital adoption reaches 94%.

Customers make about 574 million annual logins across e/m-banking and more than 1 million digital transactions each day. During the first half of 2026, one in three banking products was acquired digitally.

AI Moves Into Everyday Banking

Eurobank is expanding the use of AI through tools including EVA, its digital customer assistant, and myEVA, an AI-powered voice assistant for employees. The technology is also being applied to mortgage assessments, customer feedback analysis and contractual documents.

The bank’s technology architecture is built around five areas: digital channels, customer experience orchestration, data and AI, core banking, and infrastructure and cloud. About 50% of its applications and digital channels are already cloud-based.

Investment Extends Beyond Technology

The program is intended to reshape how Eurobank operates, combining automation and AI with employee development and human support. The bank says the approach is designed to improve services while maintaining access to face-to-face banking when customers need it.

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