The global data center industry has entered an era of physical transformation. Over the past three years, the evolution of generative artificial intelligence and frontier foundation models has pushed enterprise IT infrastructure to its physical limits. To train next-generation AI models containing trillions of parameters, hyperscale cloud providers and enterprise technology leaders are abandoning traditional megawatt-scale layouts in favor of massive gigawatt-scale AI factories.
However, scaling data center clusters to gigawatt capacity introduces extreme networking bottlenecks. Connecting hundreds of thousands of GPUs across distributed server racks creates data traffic congestion, packet loss, and high latency.
When networking fabrics fail to supply GPUs with continuous data streams at high bandwidths, valuable accelerator compute cycles are wasted, inflating training costs and extending model deployment timelines.
Furthermore, managing multi-tier networking fabrics across sprawling hyperscale facilities adds immense operational complexity.
Addressing these gigawatt-scale networking friction points, enterprise technology titans Hewlett Packard Enterprise (HPE) and Oracle Corporation announced an expansion of their strategic networking collaboration.
The deepened alliance combines HPE’s high-performance HPE Juniper Networking portfolio-specifically its high-density 800G and 1.6T Ethernet switches and automated fabric management tools-with Oracle Cloud Infrastructure (OCI). Together, the two tech giants aim to accelerate the deployment of gigawatt-scale AI infrastructure, delivering low-latency, lossless networking fabrics capable of supporting OCI’s multi-nodal AI supercomputers.
Uniting HPE Juniper Networking with Oracle Cloud Infrastructure
The expanded partnership establishes a networking validation framework designed to optimize OCI’s gigawatt-scale AI clusters. By deploying HPE’s high-density Ethernet switching platforms and AI-native management software, OCI can scale its multi-tenant AI clouds while eliminating network-induced compute bottlenecks.
Key technical and strategic pillars of the collaboration include:
HPE High-Density 800G and 1.6T Ethernet Fabrics: Incorporates HPE’s switching technology within OCI’s data centers, creating high bandwidth connections based on UEC open standards.
Optimized RoCEv2 Congestion Control: Uses optimized RDMA over Converged Ethernet (RoCEv2) technologies for delivering lossless data transfer across thousands of GPU clusters.
AI Native Telemetry and Fabric Automation: Employs automation tools to monitor the health of data flows in real-time, predicting and avoiding link outages before packet drops happen.
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Faster Time to Market: Validates HPE networking technologies within OCI’s reference architectures, enabling Oracle to build gigawatt scale AI data centers quicker.
“Scaling AI infrastructure to gigawatt capacity requires rethinking data center networking,” stated Antonio Neri, President and CEO of HPE.
Impact on the Data Center Industry
The expanded partnership between HPE and Oracle highlights major evolutionary developments across the broader Data Center landscape:
1. Formalizing Open Ethernet in AI Fabrics
Historically, high-performance computing and early AI clusters relied on proprietary InfiniBand networking fabrics. Co-engineering gigawatt-scale OCI clusters around HPE’s 800G and 1.6T switching platforms formalizes the industry transition toward Open High-Power Ethernet Architectures. Ethernet’s commercial scale, multi-vendor interoperability, and cost efficiency make it the preferred networking standard for hyperscale AI data centers.
2. Transitioning Data Center Design to Power Efficiency
With increases in AI cluster sizes above tens of thousands of GPUs, the proportion of power used by network switches becomes higher. Using high density switching chips can help reduce the number of physical switches and optical cables and allow data center providers to minimize power per gigabit of data and improve facility cooling.
Overall Business Implications
For hyperscale cloud operators, colocation service providers, and suppliers of data center hardware, the strategic partnership between HPE and Oracle provides several business advantages:
Getting Best Value for Investment in GPUs: Guaranteeing consistent and low latency transmission of data helps avoid any underutilization of the costly AI accelerators, thus reducing the cost of each trained model.
Minimizing Risks of Hyperscale Supply Chain: Leveraging the open standard Ethernet hardware makes hyperscale companies independent from single supplier components and simplifies the process of buying for big facilities.
Enterprise Customers’ Cloud AI Migration: Offering strong OCI networking infrastructure will enable enterprises to launch their huge AI workloads in the cloud with guaranteed SLAs.
Conclusion
HPE and Oracle’s deepened networking collaboration represents a vital milestone in the evolution of gigawatt-scale data center infrastructure. By pairing HPE’s high-density 800G and 1.6T Ethernet switching architecture with Oracle Cloud Infrastructure’s AI supercomputers, these two industry leaders are providing a practical blueprint for next-generation AI factories. For the global data center industry, this news confirms that powering the future of artificial intelligence requires flexible, open, and automated networking fabrics capable of delivering performance and efficiency at scale.