HPE launches self-driving network, paving the way for autonomous organizations in the AI ​​era.

HPE unveils an automated network, unlocking the power of next-generation AI and paving the way for unmanned organizations. Revolutionizing infrastructure with an intelligent network where GPUs have no waiting time and the system is 100% self-healing, HPE propels businesses into the era of the Agentic Enterprise.

June 17, 2569 – In an era where artificial intelligence (AI) plays a crucial role in business, “networks” are like the lifeblood that transmits information. However, as AI becomes smarter and more complex, traditional networks are increasingly unable to cope. Recently, HPE (Hewlett Packard Enterprise), a global technology giant, announced a major strategy to transform the business sector with the launch of a self-driving intelligent network system, covering the entire network from data centers to the edge.

This move by HPE is a major step forward for the "Agentic Enterprise" concept, an organization driven by full automation, where AI manages large-scale IT systems instead of humans, reducing complexity, resolving problems independently, and ensuring maximum security.

3 Key Highlights: When Intelligent Networks Drive Themselves.

To meet the needs of modern organizations, HPE has introduced three key innovations that will revolutionize IT infrastructure:

1. Upgrade your AI Data Center: Faster network, faster GPU latency.

HPE has launched a new switch in the HPE Juniper Networking QFX family, designed to support advanced AI computing tasks (such as inferencing or AI problem-solving). The cool thing about this innovation is that it allows graphics processing units (GPUs) to perform at their full potential, reducing network latency and solving bottlenecks that plague large organizations. This enables faster deployment of AI from the lab and lowers total cost of ownership (TCO).

2. Intelligent Management System (Agentic AIOps): Self-repairing before problems occur.

HPE has integrated its management platforms (HPE Aruba Central and HPE Mist AI), deploying HPE Marvis (an intelligent AI assistant) as a personal engineer, with key capabilities including:

• • Predictive Analytics: Using AI/ML, it can accurately inspect and predict which devices are about to fail in advance, thus preventing system crashes.
  • Thinking, analyzing, and solving problems independently (Advanced Reasoning Agent): When a problem occurs, the system analyzes the root cause (RCA) from a database of millions of case examples to resolve the issue immediately without human intervention.

3. Ultimate security with 'Unified SASE' and 'Zero Trust'.

As AI becomes smarter, so do cybercriminals. HPE has therefore launched a new security platform that integrates network and security systems into a single solution, operating on the principle of Zero Trust (not trusting anyone without permission), filtering only secure users and devices. It also features SASE Copilot, allowing administrators to engage in instant security-related conversations using natural language.

Rami Rahim, Executive Vice President and General Manager of Networking at HPE, stated that the success of enterprise AI depends on a next-generation network foundation designed for automation. Network performance, stability, and intelligence are crucial in determining how well enterprise AI performs, and HPE is committed to delivering that foundation to ensure all organizations can confidently, securely, and easily utilize AI.

In addition to cutting-edge innovations, HPE Financial Services has launched a Network Migration Program to help organizations easily transition from legacy to AI-powered networks. This is achieved through cost-effective financing offers such as 0% interest financing for software and programs to convert the value of aging IT equipment into capital for future innovation, significantly reducing organizational budget risk.

HPE's declaration of war reflects the fact that in the next business world, simply having smart AI is not enough. "Infrastructure" and "network" must also be intelligent and responsive. The transition to self-driving networks is no longer a distant prospect, but a crucial strategy that will determine which organizations will survive and grow faster in this agentic economy.

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