JD Cloud Unveils Eight New AI Products at 2025 Cloud City Conference
At the 2025 JD Cloud City Conference held in Shenzhen, JD Cloud revealed significant advancements in its artificial intelligence portfolio by launching eight new products. Key introductions include the Yanshi Intelligent Body Platform, Yanshi AI Development Computing Platform, Super Intelligence Cluster, and Yunhai AI Storage. The company also presented an integrated platform that merges development training with scenario applications, enabling businesses to directly utilize large language models such as DeepSeek for their development needs. JD Cloud enhanced its Yanshi AI Development Computing Platform to support the optimization of both its proprietary models and those from third-party providers, offering over 20 free models, extensive datasets, and more than 100 algorithm tools for customization. Furthermore, the firm introduced specialized hardware optimized for DeepSeek models, claiming a 50% improvement in overall system speeds. To address the surging demand for computing power, JD’s Super Intelligence Cluster was highlighted for its capacity to manage 2,000 GPUs while supporting scales exceeding 100,000 GPUs. Additionally, the optimized vGPU platform reportedly boosts processing speeds by 50%, underscoring JD Cloud's commitment to providing robust infrastructure for enterprise AI adoption and large model deployment.
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JD Cloud Unveils Eight New AI Products at 2025 Cloud City Conference
At the 2025 JD Cloud City Conference held in Shenzhen, JD Cloud revealed significant advancements in its artificial intelligence portfolio by launching eight new products. Key introductions include the Yanshi Intelligent Body Platform, Yanshi AI Development Computing Platform, Super Intelligence Cluster, and Yunhai AI Storage. The company also presented an integrated platform that merges development training with scenario applications, enabling businesses to directly utilize large language models such as DeepSeek for their development needs. JD Cloud enhanced its Yanshi AI Development Computing Platform to support the optimization of both its proprietary models and those from third-party providers, offering over 20 free models, extensive datasets, and more than 100 algorithm tools for customization. Furthermore, the firm introduced specialized hardware optimized for DeepSeek models, claiming a 50% improvement in overall system speeds. To address the surging demand for computing power, JD’s Super Intelligence Cluster was highlighted for its capacity to manage 2,000 GPUs while supporting scales exceeding 100,000 GPUs. Additionally, the optimized vGPU platform reportedly boosts processing speeds by 50%, underscoring JD Cloud's commitment to providing robust infrastructure for enterprise AI adoption and large model deployment.
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