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The rapid advancement of artificial intelligence has positioned Huawei at the forefront of innovation, capturing significant attention within the industryAs a tech giant, Huawei is not just keeping pace but is actively shaping the future of AI through groundbreaking patents and strategic partnerships.

Recently, Huawei announced a pivotal patent titled "Quantization Method for Artificial Intelligence Models, Processing System, and Quantization Unit." This patent addresses some of the most pressing challenges in the AI sector todayAs AI technology evolves, models are becoming increasingly complex, resulting in substantial memory usage, high computational demands, and cumbersome parameter sizesHuawei’s new patent aims to mitigate these issues.

The essence of the patent lies in its quantization unit, which can segment a quantization matrix into smaller, more manageable blocks based on the processing granularity of the computing devices running the AI modelsThis innovative approach allows for real-time quantization of weight and activation matrices without requiring extensive outlier statistical analysis at the tensor levelThe result is a more efficient AI model that can operate smoothly on various devices, including smartphones and IoT gadgetsUsers can expect faster response times and a more seamless interactive experience.

Since the beginning of the year, Huawei has revealed a total of 26 patents related to AIOn February 5, Huawei's chairman, Liang Hua, highlighted the acceleration of AI technology during a high-quality development conference in Guangdong Province, emphasizing that innovation is critical for seizing new opportunitiesThis latest patent serves as a testament to Huawei's commitment to driving AI advancements.

In addition to its impressive patent portfolio, Huawei is deepening its collaboration with DeepSeek, which is further energizing the domestic AI ecosystemOn February 6, Huawei China announced that its DCS AI full-stack solution, specifically the ModelEngine product, would fully support the local deployment and optimization of DeepSeek’s large models, R1 and V3, as well as its distillation series

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This integration facilitates a faster rollout of AI applications for clients.

ModelEngine acts as a comprehensive AI platform for model training, reasoning, and application development, providing users with a seamless experience from data preprocessing to model training and deploymentWith this tool, developers can enjoy the efficient inference capabilities of DeepSeek’s models and benefit from a simplified deployment processThe platform eliminates the challenges associated with hardware selection, compatibility verification, and environment configuration, significantly lowering the barriers for enterprises looking to adopt AI technologies.

The collaboration has already yielded tangible resultsOn February 1, Huawei Cloud and Silicon Flow jointly launched the DeepSeek R1/V3 inference services based on Huawei Cloud's Ascend cloud servicesJust a few days later, on February 4, DeepSeek's various models, including R1, V3, V2, and Janus-Pro, were officially launched on the Ascend community, enabling users to quickly deploy inference on Ascend hardware platformsAdditionally, on February 5, the Xiaoyi Assistant app, which operates on the native HarmonyOS, integrated with the beta version of DeepSeek R1, allowing users to interact with DeepSeek through the appThis integration significantly enhances Xiaoyi's natural language processing capabilities, providing users with a more intelligent interaction experience.

DeepSeek has made remarkable strides in the AI field, with models like DeepSeek R1 being recognized for their excellent performance and cost-effectiveness, rivaling those from OpenAIThis has garnered global attention and positioned DeepSeek as a formidable player in the AI landscapeCoupled with Huawei’s extensive expertise in 5G, cloud computing, AI chips, and edge computing, the partnership between Huawei and DeepSeek exemplifies a powerful convergence of hardware and software.

The implications of this partnership extend beyond mere technological advancements; they signal a shift in the global AI narrative

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