本周行业协会发布新报告,NBA八人轮换与九人轮换：战术选择背后的策略考量

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专家远程指导热线，多终端:昨日行业报告传递新政策,NBA八人轮换与九人轮换：战术选择背后的策略考量

在NBA这个竞争激烈的篮球殿堂中，球队战术的选择往往决定了比赛的走向。其中，轮换阵容的策略更是球队教练们精心策划的关键环节。在众多轮换策略中，八人轮换和九人轮换是两种常见的战术选择。那么，这两种轮换方式究竟有何区别？又该如何根据比赛情况灵活运用呢？ ### 八人轮换：高效与专注 八人轮换，顾名思义，是指教练在比赛中只使用八名球员进行轮换。这种轮换方式在NBA中较为常见，其优势在于： 1. **提高球员专注度**：由于轮换次数较少，球员在比赛中的表现更加专注，有利于发挥出最佳水平。 2. **增强球队默契**：长期固定的阵容搭配有助于球员之间建立默契，提高团队协作能力。 3. **节省体能**：八人轮换可以减少球员的体能消耗，有利于球队在关键时刻保持战斗力。 然而，八人轮换也存在一定的局限性： 1. **阵容深度不足**：在比赛过程中，教练可能无法根据对手的变化及时调整阵容，导致球队在关键时刻陷入被动。 2. **球员疲劳**：长时间的比赛可能导致部分球员体能透支，影响球队整体表现。 ### 九人轮换：灵活与应变 与八人轮换相比，九人轮换则显得更加灵活。这种轮换方式在比赛中使用九名球员，具体操作如下： 1. **增加阵容深度**：九人轮换可以确保球队在关键时刻有更多的选择，有利于应对各种战术变化。 2. **提高球员体能**：由于轮换次数增多，球员在比赛中可以保持更好的体能状态，有利于球队在下半场发挥出更强的战斗力。 3. **增强球队活力**：九人轮换可以激发球员的斗志，提高球队整体活力。 然而，九人轮换也存在一定的弊端： 1. **影响球员专注度**：频繁的轮换可能导致球员在比赛中分心，影响其表现。 2. **增加教练工作量**：九人轮换需要教练在比赛中不断调整阵容，对教练的应变能力提出了更高的要求。 ### 策略考量：灵活运用 在实际比赛中，教练应根据对手、球队实力以及比赛进程等因素，灵活运用八人轮换和九人轮换。以下是一些建议： 1. **对手实力较强时**：采用九人轮换，增加阵容深度，提高球队应对对手变化的能力。 2. **球队实力较强时**：采用八人轮换，提高球员专注度，发挥球队整体默契。 3. **比赛关键时刻**：根据实际情况调整轮换策略，确保球队在关键时刻有足够的战斗力。 总之，八人轮换和九人轮换各有优劣，教练应根据比赛情况灵活运用，以实现最佳战术效果。在NBA这个充满变数的篮球世界，战术选择背后的策略考量至关重要。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co