Oracle Expanded Networking Tech in AI Data Centers
The firm integrated HPE Juniper routing and switching platforms to support high-bandwidth requirements for AI clusters.
Updated on Sept. 27, 2026 in Data Centers
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Oracle has announced an expanded partnership with HPE to deploy HPE Juniper networking hardware across its global AI data centers and edge networks. This deployment incorporates routing and switching platforms to address the heavy bandwidth and low-latency demands of massive GPU compute clusters.
Why it matters
As AI model training requires increasingly massive data throughput, high-performance networking has become a critical bottleneck for cloud providers. This integration aims to improve visibility and congestion management through intelligent telemetry as Oracle scales its global cloud infrastructure.
The deployment integrates HPE Juniper PTX and MX routing platforms alongside QFX and EX switching platforms. These systems utilize intelligent telemetry to identify network congestion and packet loss across the global network.
The players
Oracle
A global provider of enterprise cloud infrastructure, software, and AI-optimized data center services.
HPE
A technology company specializing in enterprise-grade server, storage, and networking hardware portfolios.
The details
The collaboration leverages Juniper-branded routing and switching hardware, which are designed to handle the high-throughput, low-latency traffic flows inherent to distributed AI training. By implementing intelligent telemetry—a process of collecting real-time operational data from network devices—Oracle gains visibility into traffic congestion and packet loss across its edge and core architecture. These systems replace or supplement existing networking layers to maintain the stable, high-bandwidth connections required to keep large clusters of graphics processing units (GPUs) saturated with data.
Timeline
September 27, 2026: Oracle and HPE announced the expanded infrastructure collaboration.
The Tech Race
This deployment signals a move toward specialized, high-performance fabric for AI-centric data centers. It follows a decade of engineering work and positions Oracle to scale its infrastructure against intensifying demand for low-latency GPU cluster connectivity.
Oracle cloud users can expect increased capacity for high-performance computing tasks as the new networking hardware rolls out globally. The transition aims to improve the consistency of AI training workloads, though specific regional rollout timelines were not announced.
The takeaway
The move underscores the growing necessity of specialized networking hardware in sustaining the growth of large-scale AI operations. Watch for further performance benchmarks on Oracle's cloud infrastructure as the company integrates these routing platforms into its global data centers.
Further reading
For more on how infrastructure providers manage rising compute demands, see our coverage of Data Centers.
Source note: This article includes information reported by Frontier Enterprise.
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