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本周数据平台本月业内人士公开最新动态:今日研究机构更新行业动态,私教1V2训练思路：打造高效健身计划，助力学员共同进步

在健身行业中，私教1V2训练模式越来越受到健身爱好者的青睐。这种模式不仅能够提供更加个性化的服务，还能促进学员之间的互动与竞争，共同进步。本文将为您详细介绍私教1V2训练的思路，帮助您打造高效健身计划。 一、了解学员需求 在开始私教1V2训练之前，教练需要充分了解两位学员的健身目标、身体状况、运动经验以及时间安排等。通过沟通，明确两位学员的共同点和差异，以便制定出符合他们需求的训练计划。 二、制定训练计划 1. 确定训练目标：根据学员的健身需求，设定短期和长期目标。短期目标可以是增加肌肉力量、提高心肺功能等，长期目标则是塑造体型、改善健康状况等。 2. 制定训练内容：根据学员的身体状况和目标，设计合理的训练内容。训练内容应包括有氧运动、无氧运动、拉伸运动等，确保训练的全面性。 3. 分配训练强度：针对两位学员的身体状况和训练进度，合理分配训练强度。避免因强度过大导致受伤，同时确保训练效果。 4. 制定训练周期：根据学员的训练目标，设定合适的训练周期。一般来说，每周训练3-4次，每次训练时间为60-90分钟。 三、训练过程中注意事项 1. 互动与竞争：在训练过程中，教练应鼓励两位学员相互竞争，激发他们的潜能。同时，保持良好的互动，让学员感受到团队精神。 2. 个性化指导：针对两位学员的不同特点，教练应给予个性化的指导。例如，针对力量不足的学员，可以适当增加力量训练；针对心肺功能较差的学员，可以增加有氧运动。 3. 监控进度：教练需要定期监控学员的训练进度，及时调整训练计划。确保学员在训练过程中不断进步。 4. 安全第一：在训练过程中，教练要时刻关注学员的安全，避免因动作不规范导致受伤。 四、训练后的恢复与调整 1. 恢复：训练后，教练应指导学员进行适当的拉伸和放松，帮助肌肉恢复。同时，提醒学员保持良好的作息，保证充足的睡眠。 2. 调整：根据学员的训练进度和反馈，教练应适时调整训练计划。确保学员在训练过程中不断突破自我，实现健身目标。 总之，私教1V2训练模式能够为学员提供更加个性化的服务，帮助他们共同进步。通过了解学员需求、制定训练计划、关注训练过程中的注意事项以及训练后的恢复与调整，教练可以打造出高效的私教1V2训练计划，助力学员实现健身目标。

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