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Hewlett Packard Enterprise unveils new networking gear for AI data centers

Hewlett Packard Enterprise unveils new networking gear for AI data centers

HPE's first major product launch since its $14 billion Juniper Networks acquisition targets the booming AI infrastructure market

Hewlett Packard Enterprise unveiled new networking gear for AI data centers, leaning on its Juniper Networks acquisition as the company pushes to capture more enterprise demand for agentic AI workloads.

The company introduced new HPE Juniper QFX switches designed for AI inferencing, where companies run models and process queries after training. 

The switches are aimed at scale up systems, where customers connect multiple AI chips inside high performance infrastructure to move data quickly between processors.

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HPE also said Siemens Energy will use a private cloud system built with Nvidia technologies to run simulations and manage engineering work. The deal adds another enterprise customer to HPE’s AI infrastructure push as large companies move from testing AI tools to deploying them across business operations.

CEO Antonio Neri said networking is the foundation for the agentic enterprise, arguing that companies need the right infrastructure to connect workloads, data, and computing capacity before AI agents can work at scale.

The launch builds on HPE’s roughly $13 billion Juniper acquisition, which expanded its networking portfolio and put the company in more direct competition with Cisco. HPE has also deepened its Nvidia partnership across private cloud AI, AI factory systems, and networking products for enterprise inference.

HPE has been benefiting from stronger demand for AI servers and networking products. Earlier this month, the company raised its fiscal 2026 revenue outlook after posting record quarterly results, with Reuters reporting that HPE’s AI backlog reached more than $6.3 billion.

HPE and Nvidia have already expanded HPE Private Cloud AI for enterprise inferencing, including network expansion racks that scale deployments up to 128 GPUs. HPE has also extended its AI factory networking portfolio to include HPE Juniper Networking, using Juniper MX and PTX routing platforms for secure, low latency connections between users, devices, agents, and AI factories.

The new products show how AI infrastructure competition is moving beyond chips and servers into the networking layer that connects them. For HPE, Juniper gives the company a broader way to sell into AI data centers as enterprises begin running more agentic workloads.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

Hewlett Packard Enterprise unveils new networking gear for AI data centers

Hewlett Packard Enterprise unveils new networking gear for AI data centers

HPE's first major product launch since its $14 billion Juniper Networks acquisition targets the booming AI infrastructure market

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Hewlett Packard Enterprise unveiled new networking gear for AI data centers, leaning on its Juniper Networks acquisition as the company pushes to capture more enterprise demand for agentic AI workloads.

The company introduced new HPE Juniper QFX switches designed for AI inferencing, where companies run models and process queries after training. 

The switches are aimed at scale up systems, where customers connect multiple AI chips inside high performance infrastructure to move data quickly between processors.

Advertisement

HPE also said Siemens Energy will use a private cloud system built with Nvidia technologies to run simulations and manage engineering work. The deal adds another enterprise customer to HPE’s AI infrastructure push as large companies move from testing AI tools to deploying them across business operations.

CEO Antonio Neri said networking is the foundation for the agentic enterprise, arguing that companies need the right infrastructure to connect workloads, data, and computing capacity before AI agents can work at scale.

The launch builds on HPE’s roughly $13 billion Juniper acquisition, which expanded its networking portfolio and put the company in more direct competition with Cisco. HPE has also deepened its Nvidia partnership across private cloud AI, AI factory systems, and networking products for enterprise inference.

HPE has been benefiting from stronger demand for AI servers and networking products. Earlier this month, the company raised its fiscal 2026 revenue outlook after posting record quarterly results, with Reuters reporting that HPE’s AI backlog reached more than $6.3 billion.

HPE and Nvidia have already expanded HPE Private Cloud AI for enterprise inferencing, including network expansion racks that scale deployments up to 128 GPUs. HPE has also extended its AI factory networking portfolio to include HPE Juniper Networking, using Juniper MX and PTX routing platforms for secure, low latency connections between users, devices, agents, and AI factories.

The new products show how AI infrastructure competition is moving beyond chips and servers into the networking layer that connects them. For HPE, Juniper gives the company a broader way to sell into AI data centers as enterprises begin running more agentic workloads.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.