HPE and Juniper unveiled AI-native networking platforms at Mobile World Congress 2026, addressing infrastructure bottlenecks as enterprises scale artificial intelligence deployments. The announcements center on high-performance routing and switching systems designed for AI traffic patterns demanding lower latency and higher uplink capacity.
"AI infrastructure is a critical growth driver for service providers," said Rami Rahim, HPE's networking lead. "More than ever, HPE is committed to helping these customers lead in the AI era by building intelligent, next-generation networks that can support complex operations, rising data traffic, and the transformative capabilities of AI."
The infrastructure push comes as datacenter operators face mounting capital requirements. HPE's portfolio combines compute, storage, and networking with integrated security and management tools. The company positions itself to help providers "virtualize and modernize their networks, simplify operations, and create new, higher-value services and advanced AI capabilities," according to Rahim.
New financing models accompany the hardware releases, reflecting industry recognition that upfront infrastructure costs create adoption friction. Major providers are competing on deployment flexibility as AI workloads reshape network architecture requirements.
Ray Mota, an industry analyst, notes HPE "delivers the architectural and operational foundation service providers need to fully participate in the AI value chain, resulting in a differentiated ability to offer secure, autonomous, on-demand digital services at scale." The competitive landscape includes specialized innovations in power delivery and GPU virtualization alongside networking upgrades.
Service providers face pressure to upgrade infrastructure as AI applications generate unprecedented data traffic. HPE's strategy focuses on "high-performance routing, switching, AI-native automation, telco cloud architectures, and security" to prepare operators for AI-driven connectivity demands.
The MWC 2026 launches signal accelerating competition among infrastructure vendors to capture enterprise AI spending. Cloud-native routers and high-density platforms represent the hardware foundation, while financing innovation aims to convert interest into deployments despite economic uncertainty around AI ROI timelines.