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As enterprise digital transformation gains momentum, data has become a key production factor. In turn, data centers — responsible for data computing, storage, and forwarding — have now become the single most important piece of critical digital infrastructure. As a result, data center Information Technology (IT) architecture, computing units, and storage media are all undergoing a seismic shift, driving Data Center Networks (DCNs) as a whole to evolve from multi-protocol to all-Ethernet.
Huawei's CloudFabric 3.0 Hyper-Converged Data Center Network Solution is a great fit to accelerate enterprises' agile innovations and facilitate construction of intensive and green integrated data centers. By implementing Ethernet-based lossless computing and storage networks, this solution unleashes 100% of computing power. It also leads the industry by building the first-of-its-kind L3.5 data center autonomous driving network.
768 x 400GE ports, highest density in the industry
industry's first lossless Ethernet, unleashing 100% of computing power
industry's first L3.5 autonomous driving network, delivering 3-fold O&M efficiency
10+ patented heat dissipation techniques, consuming 47% less power per unit of computing power
Lossless EthernetConverges transmission of diverse traffic of three networks through lossless Ethernet at the physical network layer.
Automated Full-Lifecycle ManagementConverges network management, control, and analysis, and integrates data of multiple management platforms and tools at the network control layer.
All-Scenario NaaSConverges multiple service scenarios and centralizes computing power from different regions and scenarios at the orchestration layer.
L3.5 Autonomous Driving Network
Builds the industry's first L3.5 autonomous network with E2E intelligence spanning solution design and evaluation, and configuration delivery and verification.
Lossless Ethernet for Storage (NoF+)
Builds lossless, highly reliable, and plug-and-play storage networks in data centers.
Achieves long-distance lossless transmission in intra-city active-active scenarios.
Lossless Ethernet for HPC
Ensures zero packet loss in any short-distance transmission scenario.
Doubles computing power without changing the size of the compute cluster.
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Diputación de Alicante’s Agile Network
Arthur Wang, Vice President of Huawei's Data Center Network Domain, sheds light on the highlights of the all-new CloudFabric 3.0 Solution. Huawei launched the Easy CloudFabric Solution — the latest upgrade to the CloudFabric 3.0 Data Center Network Solution — which stands out with three "easy" features: easy deployment, easy O&M, and easy evolution. The all-new solution creates an ultimate service experience for the hybrid cloud era, accelerating enterprise digital transformation.
L3.5 Data Center Autonomous Driving Network White Paper: Actionable Guidelines for Heterogeneous Network Autonomy2022.10.18
Marketing Manager, NCE-Data Communication Domain
L3 implements conditional autonomy within a single network. A major milestone on the way to evolving from L3 to L4 is L3+, also called L3.5, where L3 is implemented across multi-cloud, multi-data center, and multi-vendor networks.
Ethernet Has Evolved to Become the Basis and Foundation for Hyper-Converged DCNs2021.10.19
Huawei data center network expert
This document interprets main information in the IDC white paper, sponsored by Huawei, The Hyper-converged Datacenter Network: How Ethernet Addresses the Need for Low Latency, Losslessness, and Full Life-Cycle Network Automation.
Unleashing Computing Power through All-Ethernet Adoption with the Huawei CloudFabric 3.0 Hyper-Converged DCN Solution2021.07.02
President of Campus Network Domain, Huawei's Data Communication Product Line.
To deliver high computing power, resources in data centers must be highly coordinated and converged. With this in mind, Huawei launched the CloudFabric 3.0 Hyper-Converged DCN Solution.
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Tolly Group: Huawei CloudFabric 3.0 Comes Top in L3.5 Data Center Autonomous Driving Networks
Autonomous Driving Network Thought Leadership Paper Release Paves the Way for Autonomous Driving Networks
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