As part of New York Tech Week, MuleRun hosted its event, "Go AI Native with MuleRun – Key Features Update," on June 3, bringing together professionals from fintech, e-commerce, marketing, and technology sectors to discuss the growing adoption of AI agents and what it takes for organizations to become truly AI-native.

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The event showcased insights from three prominent speakers:

Building an AI-Native Future with MuleRun
During his keynote presentation, Cheng Fu highlighted how AI agents have evolved from experimental concepts into practical tools deployed at scale. He emphasized that the true innovation lies not in the technology itself, but in integrating AI as a reliable and collaborative partner within teams. According to Fu, anyone can now create AI agents tailored to their specific workflows, making AI-powered productivity accessible today rather than a distant possibility.

Designed to support organizations of every size—from solo entrepreneurs and small businesses to large enterprises—MuleRun enables companies to transition toward AI-native operations. Within just eight months of launch, the platform has attracted more than one million users and continues to strengthen its presence in the enterprise market.

Panel Discussion: AI as a Partner, Not a Replacement
During the panel discussion, speakers agreed that organizations often struggle with AI adoption when they view the technology as a direct replacement for employees rather than a tool that complements human expertise. They stressed the importance of maintaining strong business fundamentals and human judgment alongside AI implementation.

Cheng Fu described AI as a highly capable analytical assistant that can automate a significant portion of repetitive work, allowing employees to focus on creativity, strategic thinking, and relationship-building. Rather than relying solely on specialized AI engineers, he encouraged companies to empower frontline employees to develop AI-driven solutions that improve their own workflows.

The panel also noted that future success will depend on professionals who combine technical proficiency with strong interpersonal and creative skills. Ultimately, the discussion concluded that AI's greatest impact will come from transforming how organizations operate. Enterprises that successfully embrace AI-native ways of working will be best positioned to unlock gains in both efficiency and innovation.

“AI should not replace human judgment—it should enhance it,” said Cheng Fu, Principal Product Manager, MuleRun.

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Infineon Technologies, a global leader in power systems and Internet of Things (IoT) solutions, has become part of NVIDIA’s MGX AI Factory ecosystem, contributing advanced power delivery technologies for the next generation of AI data centers. The company’s power management portfolio will support NVIDIA’s MGX™ platform and 800 VDC power architecture—an open and modular framework developed to meet the demands of AI factories in the era of agentic AI. By enabling 800 VDC MGX™-compatible power racks, Infineon helps existing AI infrastructure achieve greater computing capacity and power density while providing a pathway for future upgrades.

Adam White, President of Infineon’s Power & Sensor Systems Division, stated that the collaboration with NVIDIA aims to reshape power distribution from the electrical grid all the way to the processor level, a critical requirement for advancing AI technologies. He noted that as AI models become increasingly sophisticated and resource-intensive, data centers must significantly boost computational performance while operating within existing space, energy, and cooling limitations. Through the combination of NVIDIA’s flexible MGX architecture and Infineon’s power solutions, data centers can achieve more efficient energy distribution across their power networks. He also expressed enthusiasm about continuing joint efforts to bring additional MGX-based innovations to market.

Infineon’s expertise in end-to-end power conversion spans the entire power chain, from grid infrastructure to processor cores, utilizing a range of semiconductor technologies including silicon (Si), silicon carbide (SiC), and gallium nitride (GaN). This broad technological foundation supports the industry's move toward large-scale adoption of 800 VDC architectures. Infineon’s GaN-based solutions, operating at switching frequencies approaching 1 MHz, enable highly compact bus converters with exceptional efficiency. Additionally, the company’s proprietary SiC JFET technology, paired with specialized control integrated circuits, provides effective protection and hot-swap capabilities for native 800 V server boards. These solutions facilitate power conversion from 800 V to intermediate voltages such as 50 V, 12 V, and even 6 V.

Within the NVIDIA MGX AI Factory ecosystem, Infineon supports the full 800 VDC power conversion pathway, delivering intermediate bus and core voltages for systems built on NVIDIA MGX architecture. By minimizing the number of power conversion stages and bringing DC power closer to server racks, the approach enhances overall energy efficiency, streamlines infrastructure requirements, and enables higher-density AI computing environments.