Data Center Networking stories
The multi-year rollout aims to ease bandwidth and latency bottlenecks as Oracle scales GPU-heavy cloud clusters across its global AI estate.
Demand for AI infrastructure and networking lifted HPE's backlog to a record, prompting the group to raise its fiscal 2026 and 2027 outlook.
Demand for denser AI data centres is driving a new Cisco-Nvidia partnership with Supermicro, aimed at easing cooling and deployment pressures.
The deployment will help AWS meet surging demand for AI computing as the cloud giant deepens reliance on NVIDIA hardware and robotics.
Cloud builders could gain more compute headroom, as NVIDIA shifts memory control off the chip and opens NVHBM to multiple suppliers.
Rising demand for validated AI infrastructure is driving Cisco and NVIDIA to add rack-scale support for larger enterprise deployments.
It lets cloud operators pair custom XPUs with NVIDIA's rack-scale systems, aiming to cut delays and integration costs in AI build-outs.
Energy-constrained AI operators could run far more agentic tasks after NVIDIA said Vera Rubin systems deliver up to 30 times higher throughput per megawatt.
Security teams face wider blind spots as ExtraHop's new sensor brings full inspection of 400 Gbps data centre traffic to RevealX.
Energy savings in dense AI clusters are driving stricter limits on 200G linear pluggable optics, as Semtech targets 10W modules and a 500-metre reach.
Lower power draw in dense AI networks is driving interest in linear pluggable optics, though Semtech says the design is not a universal replacement.
The open-source move could cut latency to microseconds as AI systems increasingly need storage to act like part of the compute path.
The upgrades are aimed at easing bottlenecks for large AI and machine learning deployments, with clusters now scaling to 15,000 nodes.
Early cloud deployments and benchmark gains signal NVIDIA's latest rack-scale AI platform is moving into commercial use as data centres chase efficiency.
Early adopters say the switch could help giant AI clusters avoid bottlenecks as network performance becomes critical to training and inference.
Developers can now run accelerator-heavy AI workloads on managed GKE Autopilot without handling node setup or low-level network allocation.
Enterprises face rising pressure to secure and automate AI workloads as HPE ties networking, storage and software into a fuller stack with NVIDIA.
The additions broaden access to mixed quantum systems as OVHcloud seeks to build Europe's quantum infrastructure around its sovereign cloud.
Risk production of optical transceiver chips is slated for 2026 and 2027 as UMC moves silicon photonics onto 12-inch wafers.
The UK lab trial aims to slash AI power use and cut accelerator idle time as demand for inference strains data centre networks.