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Cornelis Networks' Active Compute Fabric addresses critical network bottlenecks in AI clusters by integrating programmable compute directly into the data center fabric. This architecture allows networks to actively manage traffic and offload collective operations in real time, preventing expensive accelerators from idling during data processing. The move represents a significant shift toward workload-aware networking infrastructure essential for scaling large AI model training and inference workloads.

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Cornelis Networks raises $205M and scales up and out with its new Active Compute Fabric

SiliconANGLE14 septembrie 20266 min de cititArticolul și perspectiva sunt în engleză.

Data center infrastructure startup Cornelis Networks Inc. is taking a major leap forward with the launch of a new Active Compute Fabric architecture to support scale-up and scale-out networks for artificial intelligence workloads. The new fabric was announced alongside a strategy collaboration with Qualcomm Technologies Inc. and a $205 million funding round led by IAG Capital Partners. Cornelis is a developer of specialized and congestion-free data center networking systems for AI and high-performance computing. A rival to more established providers such as Cisco Systems Inc. and Arista Networks Inc., its network infrastructure is designed to accelerate those workloads and maximize compute performance to enhance AI model training and inference.…

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