Hewlett Packard Enterprise Unveils 8-Port CX 6000 Switches and 15% Faster Nonstop Compute
At NRF 2026, HPE expanded its retail portfolio with HPE Aruba CX 6000 Switch Series featuring new 8-port PoE models and Mist AIOps analytics for enhanced in-store IoT and POS connectivity. It also launched HPE Nonstop Compute NS9 X5/NS5 X5 with 15% more performance and 4,000-node scaling via GreenLake.
1. HPE Bolsters Quantum-Safe Networking with Juniper Acquisition
In July 2025, Hewlett Packard Enterprise closed its $13.4 billion acquisition of Juniper Networks, enhancing HPE’s secure networking portfolio with Juniper’s high-performance routers, switches and SD-WAN capabilities. The deal positions HPE to capitalize on the quantum-safe SD-WAN market, forecast to grow from $1.0 billion in 2024 to $3.44 billion by 2029 at a 28 percent CAGR. By integrating Juniper’s AI-driven network management and quantum-resistant encryption modules into its Aruba and GreenLake offerings, HPE expects to capture additional market share in large enterprise and telecom segments, where demand for post-quantum cryptography and zero-trust architectures is strongest.
2. Expanded Retail Portfolio Delivers Resilient Edge and AI-Native Insights
At NRF 2026: Retail’s Big Show, HPE unveiled enhancements to its retail-ready portfolio, combining Aruba CX switching, Mist AIOps and Nonstop Compute to ensure continuous operations across stores and warehouses. The new Aruba Networking CX 6000 Switch Series adds 8-port PoE and non-PoE models supporting up to 90 W per port for IoT devices and digital signage, while advanced telemetry and self-driving automation reduce dropped connections by up to 40 percent, according to HPE internal testing. On the core side, HPE Nonstop Compute NS9 X5 delivers 15 percent more performance capacity than its predecessor and scales to 4,000 nodes, ensuring fault-tolerant transaction processing during peak shopping periods. Both offerings are available as a service on HPE GreenLake, enabling retailers to align costs with transaction volumes and AI-driven analytics workloads.