Customer-Centric "Huawei + Partners" Collaboration System Launched to Scale AI Across Industries

SHANGHAI, Sept. 21, 2026 /PRNewswire/ -- At HUAWEI CONNECT 2026, Leo Chen, Huawei's Senior Vice President and President of Enterprise Sales, announced the new SCALE partner support system during his "Scaling All Intelligence for Industry Success" keynote address. Huawei intends to use this new system to equip partners with the capabilities they need to help customers move intelligent transformation from individual pilots to large-scale adoption. Chen also shared new insights and practices Huawei has developed on intelligent industry benchmarks.

Chen stated, "The intelligent era is approaching fast. Huawei works with partners to provide products and solutions that solve real business problems. We want to share our own capabilities with partners. By empowering partners, they can bring their unique strengths to bear, and help customers move from compute construction to intelligent application. Huawei is fully committed to helping our customer-centric 'Huawei + Partners' collaboration system thrive. We want to help partners solve customer issues more efficiently and help customers achieve large-scale AI adoption."

Partners face five challenges when scaling intelligent industry projects: solution development, integration verification, solution delivery, O&M, and system collaboration. To help partners overcome these challenges, the SCALE partner support system offers five types of support: Scenario-based Solutions, Co-innovation, Aligned Marketing, Local Services, Consistent Quality, and Efficient Collaboration. These enhanced support offerings provide partners with systematic support from solution development, verification, launch, delivery, and operations, helping them move from benchmark intelligent projects to large-scale AI adoption.

Scenario-based Solutions: Huawei provides open, easy-to-integrate AI foundation products that partners can use to rapidly develop new solutions. These products cover compute, storage, networks, security, and data protection, and include the new SMECE and the DCS AI Solution that help partners more efficiently convert their industry know-how into feasible intelligent solutions. Huawei's partners have used these products to develop more than 100 scenario-based solutions for eight industries that accelerate AI adoption.

Co-innovation: To help partners replicate benchmark experience and validate solution integration more efficiently, Huawei has opened up its reference architectures and verification environments. This includes the reference architectures for 48 high-value scenarios that partners can refer when designing solutions, setting up test environments, developing applications, and performing debugging and verification. Besides, Huawei provides unified interfaces and development and verification tools through its cloud-based OpenLab to make solution more efficient.

Aligned Marketing: Huawei is committed to helping its partners identify customer needs, launch new solutions, and make standout solutions more visible, verifiable, and replicable so customers can quickly find the solutions they want. Huawei has opened up its Market-to-Lead (MTL) process capabilities to partners and worked together to effectively bring customer-facing solutions to market. Huawei has launched solutions alongside partners, showcased standout solutions at Huawei's booths and exhibition halls, and built industry showcases with customers. These efforts have enabled customers to better understand the value of solutions and actual validation results. Huawei has worked with partners to build more than 130 showcases with customers globally.

Local Service, Consistent Quality: Huawei is expanding and localizing its partner services, so that partners can offer customers the same high-quality service as Huawei. Partners can access the knowledge, tools, expertise, and service experience through Huawei's O3 Partner Service Enablement Platform. Huawei offers talent development and certification programs for various service roles, which have been used to cultivate more than 50,000 AI professionals over the past 3 years.

Efficient Collaboration: Huawei provides two one-stop intelligent platforms for partners that simplify the way they work with Huawei. These platforms (HUAWEI eFly and HUAWEI ePartner) serve as unified portals that help partners navigate Huawei's processes, and provide partners with the data they need to carry out one-stop marketing, transaction, and service operations. Partners gain access to the documentation, tools, IT interfaces, and AI-assisted configuration and intelligent Q&A tools, that help make serving customers more efficiently.

Chen said, "In the era of true intelligence, scaling proven practices across industries will allow more companies to thrive. Industrial intelligence is creating unprecedented opportunities, and Huawei wants to work with our customers and partners to deploy successful benchmarks at scale, and bring the benefits of AI to more industries, organizations, and people."

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Customer-Centric "Huawei + Partners" Collaboration System Launched to Scale AI Across Industries

SHANGHAI, Sept. 21, 2026 /PRNewswire/ -- In a keynote speech on computing architecture innovation at HUAWEI CONNECT 2026, Yang Chaobin, Huawei's Executive Director of the Board and CEO of the ICT Business Group, unveiled new details about the UnifiedBus interconnect architecture, announced a series of computing products based on this architecture, and explained how the company has collaborated with open-source communities to enable application innovation by customers, partners, and developers.

In a traditional computing architecture, resource utilization declines as a cluster scales. As little as 20% of a 100,000-NPU cluster's computing capacity is actually utilized by models, with a vast amount of compute sitting idle during data communications. A 10 trillion-parameter model, which requires massive amounts of intermediate data to train, far exceeds the capacity of the memory on a single accelerator under traditional architectures. Interconnection and communications between components within a cluster have become a key performance bottleneck for computing systems.

According to Yang, Huawei's solution to this bottleneck is its new computing architecture, powered by the interconnect technology called UnifiedBus, which facilitates collaboration between clusters and SuperPoDs. This architecture has been designed to support the boom in compute demand that is emerging as new agentic applications hit the market. UnifiedBus-powered computing systems have four key features:

• Unified protocol and memory semantics: More than ten interconnect protocols have been combined under the UnifiedBus protocol, which increases interconnect bandwidth from 100 GB/s level to TB/s level and reduces round-trip time (RTT) latency from 7 microseconds to 2 microseconds. This protocol also enables unified global memory addressing within SuperPoDs.
• Heterogeneous compute collaboration: UnifiedBus directly interconnects CPUs, NPUs, memory, and solid-state drives (SSDs) to enable decentralized, peer-to-peer access between them and flexible CPU-NPU mixing. In addition, tiered hardware acceleration for Transformer enables Attention-FFN disaggregation (AFD).
• Tiered storage with global pooling: UnifiedBus uses hybrid-media resource pooling to support the caching of activations. Double Data Rate (DDR) memory serves as the alternative memory for NPUs, reducing latency for search, recommendation, and advertising services, and doubling the performance of vector retrieval for 100 billion-level data items with thousands of dimensions. This also reduces the per-NPU HBM capacity requirements for the training of 10 trillion-parameter models, and improves cluster model FLOPs utilization (MFU).
• Optoelectronic interconnect and flexible networking: UnifiedBus serves as a global ultra-high bandwidth, ultra-low latency "data highway", enabling flexible scaling of compute.

Yang then moved on to unveil Huawei's newest UnifiedBus interconnect products that cover interconnection within cabinets, between cabinets, and across clusters. This enables elastic scaling from a single cabinet to a million-NPU cluster.

• Within cabinets, the UnifiedBus LinkBlade eliminates circuit losses with a cable-free design, which reduces copper cabling within a 4,096-NPU SuperPoD by about 196 kilometers.
• Between cabinets, the UnifiedBus LinkDevice supports 176 ports, with 1.6 Tbit/s bandwidth per port, delivering 280 Tbit/s all-optical interconnection. This is the industry's highest-bandwidth, highest-port-count high-speed bus-protocol interconnect device, with an RTT latency as low as 2 microseconds.
• Across clusters, the UnifiedBus UBG switch provides a massive radix fan-out capacity of up to 1,024, meaning it can support a million-NPU SuperCluster and evolution towards supporting tens of trillions of model parameters.

Yang also launched Huawei's UnifiedBus-powered agentic AI SuperCluster, which is comprised of TaiShan 950 and Atlas 960 SuperPoDs, OceanStor M900 memory storage, and a Xinghe UBG switch. This cluster enables diverse compute collaboration and tiered resource pooling.

Beyond SuperPoDs, Huawei has also applied the UnifiedBus technology to its compute appliances. The company has developed a new series of UnifiedBus-based appliances (supporting one to eight NPUs) and Kunpeng and Ascend modules, which enable small and medium-sized enterprises to run trillion-parameter models locally.

On the ecosystem front, Yang said that Ascend is collaborating with open-source frameworks like DeepSeek Harness, OpenCode, and openJiuwen to develop fully open-source intelligent management, inference acceleration, and security framework agent plugins.

Yang promised, "Huawei is committed to innovating at the system level, building a computing-foundation product portfolio, and going open source and open system. We will continue working with customers, partners, and developers to help this ecosystem thrive and offer the world a new option for compute."

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Huawei Unveils New UnifiedBus Computing Architecture for SuperPoDs and Clusters