Hewlett Packard Enterprise (HPE) is optimistic about the growing demand for AI infrastructure and has introduced the Juniper QFX series of dedicated switches optimized for inference workloads. Based on technology acquired from Juniper Networks, this product is specifically designed for vertically scaled network scenarios, meeting the needs for high-speed interconnection among multiple AI chips and rapid data transfer. Meanwhile, HPE announced that Siemens Energy will adopt its private cloud solution, jointly developed with NVIDIA, to run simulation programs and manage engineering tasks. Additionally, HPE has deepened its collaboration with NVIDIA, adding more integrated support for NVIDIA's AI models, agent tools, and chips. Antonio Neri, CEO of HPE, believes that networking is the core foundation for enterprise AI adoption, with enterprise clients accelerating their AI implementation processes and leveraging AI agents to handle various tasks. Analysts point out that these enterprise-level AI deployment cases reflect the trend of traditional companies accelerating their embrace of AI and validate HPE's strategic logic of entering the AI market with networking as its core focus. In the network equipment market, HPE faces direct competition from Cisco, while Broadcom serves as both a competitor and a partner. Meanwhile, NVIDIA's collaboration with Cisco further complicates the competitive landscape. Whether HPE can secure a larger share of the AI networking market remains to be seen. The company's earnings forecast released earlier this month exceeded Wall Street expectations, primarily due to a significant surge in AI demand for server and networking products. HPE's stock price closed down 0.91% on Tuesday but has risen 47% over the past month.