是德科技与三星携手NVIDIA展示端到端AI-RAN验证工作流程

与非网03-03

该联合演示会在2026年世界移动通信大会上展示，为AI驱动的无线接入网模块验证简化了数据采集、AI/ML训练及基准测试流程是德科技（NYSE: KEYS ）与三星电子宣布，会在巴塞罗那举行的2026年世界移动通信大会（MWC 2026）上，与NVIDIA联合演示端到端人工智能无线接入网络（AI-RAN）测试与验证工作流程。该演示展示了是德科技的AI-RAN解决方案如何以物理上行共享信道（PUSCH...

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\"AM2\" (USD) INC","LU1934455863.HKD":"AB SICAV I LOW VOLATILITY TOTAL RETURN EQUITY PORT \"A\" (HKD) ACC"},"translate_title":"Keysight and Samsung join hands with NVIDIA to demonstrate end-to-end AI-RAN verification workflow","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"NVDW":0.6,"NVIW.SI":0.6,"DIPS":0.6,"NVDG":0.6,"NVDD":0.6,"NVDA":1.94,"NVDB":0.6,"NVDQ":0.6,"ANV":0.6,"NVDS.UK":0.6,"3NVD.UK":0.6,"2NVD.UK":0.6,"NVDX":0.6,"SNVD.UK":0.6,"KEYS":1.96,"NVDU":0.6,"NVII":0.6,"NVD2.UK":0.6,"NVDY":0.6,"NVD":0.6,"NVD3.UK":0.6,"NVDS":0.6},"content_text":"该联合演示会在2026年世界移动通信大会上展示，为AI驱动的无线接入网模块验证简化了数据采集、AI/ML训练及基准测试流程是德科技（NYSE: KEYS ）与三星电子宣布，会在巴塞罗那举行的2026年世界移动通信大会（MWC 2026）上，与NVIDIA联合演示端到端人工智能无线接入网络（AI-RAN）测试与验证工作流程。该演示展示了是德科技的AI-RAN解决方案如何以物理上行共享信道（PUSCH）信道估计用例，简化AI驱动RAN模块的验证流程，将数据生成、AI/ML训练和性能基准测试整合到单一的自动化工作流程中，以加速创新并降低运营商和设备厂商的部署风险。随着AI技术在RAN中不断深入应用，工程师必须在多样化的真实网络条件下对算法进行验证。然而，数据收集、模型训练和性能基准测试通常在不同的环境中进行，导致在部署前难以对结果进行比较、复现和采信，尤其对信道估计等直接影响吞吐量、可靠性和用户体验的物理层功能影响更为显著。为应对这一挑战，是德科技的AI RAN仿真工具套件（AI RAN Simulation Toolset）构建了一个集成的端到端工作流程，该流程可自动进行逼真的数据集与场景生成、AI/ML模型训练及可复现的基准测试，使工程师能够一致地比较不同方法，并在外场测试前获得清晰的性能洞察。在MWC展会现场，该工作流程将基于合作伙伴的计算和无线平台进行端到端部署，以在真实可控的环境中验证AI驱动的RAN行为。此次演示将是德科技的AI RAN仿真工具套件与NVIDIA Aerial测试平台深度集成。该测试平台是一套端到端、空口（OTA）AI-RAN 研究测试平台，运行于包括 NVIDIA GH200、NVIDIA DGX Spark 等计算平台之上，并结合 NVIDIA Aerial Omniverse 数字孪生（网络数字孪生）以及 Analog Devices 的 Titan O-RU 商用无线硬件平台。AI/ML模型由三星、NVIDIA和是德科技联合开发，并在统一的测试工作流程内进行训练和基准测试，以提供具有指导意义的性能洞察。NVIDIA AI与电信业务副总裁Soma Velayutham表示：“随着AI更深地融入无线接入网络，在各种复杂的真实条件下验证算法变得至关重要。通过将NVIDIA AI Aerial平台集成到一个统一的工作流程中，是德科技正在简化端到端的数据管道，这对于训练、验证和部署AI原生的5G和6G网络至关重要。”三星美国研究院执行副总裁Charlie Zhang表示：“我们与是德科技和NVIDIA的合作正在通过提供集成化的AI-RAN验证来革新网络部署，弥合了理论模型与实际部署之间的差距。此次合作使业界能够充满信心地采用AI驱动的RAN解决方案，为6G网络的未来奠定坚实且具备商业可行性的基础。”是德科技6G首席技术专家Balaji Raghothaman表示：“只有当AI在RAN中的应用能够被可靠验证时，它才真正具有价值。通过与NVIDIA和三星的合作，我们展示了一个简化、自动化的端到端工作流程，它统一整合了数据生成、AI/ML训练和基准测试，帮助运营商和设备厂商加速部署、降低风险，并在引入 AI 驱动的 RAN 能力时做出更明智的决策。”","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"corporation","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; 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