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在《魔兽世界》这款游戏中，血DK（死亡骑士）以其独特的技能和强大的战斗力，成为了众多玩家喜爱的职业之一。然而，要想在游戏中快速提升血DK的练级速度，仅仅依靠游戏技能是不够的。本文将为大家解析血DK练级天赋，帮助玩家轻松成为练级达人。 一、血DK练级天赋的重要性 血DK的天赋系统是提升练级速度的关键因素。合理搭配天赋，可以让你的血DK在练级过程中更加游刃有余，快速提升等级。以下是几个关键的天赋，玩家在练级过程中需要重点关注： 1. **嗜血**：提高你的生命偷取和生命恢复速度，适合追求快速升级的玩家。 2. **亡灵之息**：增加你的亡灵单位（如骷髅、僵尸）的数量和伤害，提高练级时的输出。 3. **腐化**：提高你的腐化技能伤害，增强你的输出能力。 4. **亡灵之力**：增加你的亡灵单位生命值，提高生存能力。 二、血DK练级天赋搭配建议 1. **前期练级**：在前期练级阶段，玩家可以将天赋点数投入到“嗜血”、“亡灵之息”和“腐化”这三个天赋上。这样可以提高你的生命偷取和生命恢复速度，增加亡灵单位数量和伤害，从而快速提升练级速度。 2. **中期练级**：当血DK达到20级左右时，可以适当调整天赋搭配。将天赋点数投入到“嗜血”和“腐化”上，保持生命偷取和生命恢复速度，同时提高输出能力。 3. **后期练级**：在后期练级阶段，玩家可以将天赋点数投入到“亡灵之力”上，增加你的亡灵单位生命值，提高生存能力。此外，还可以将部分天赋点数投入到“嗜血”和“腐化”上，保持生命偷取和生命恢复速度。 三、血DK练级天赋进阶技巧 1. **技能连招**：熟练掌握血DK的技能连招，提高输出和生存能力。例如，先使用“血之怒”提高生命偷取和生命恢复速度，然后使用“血之祭”和“腐化”进行输出。 2. **装备搭配**：选择适合血DK的装备，提高生存能力和输出。建议佩戴攻击力、防御力和生命偷取加成的装备。 3. **团队配合**：在团队副本和PVP中，与队友保持良好的配合，提高练级速度。 总结： 掌握血DK练级天赋，合理搭配天赋点数，熟练掌握技能连招，选择合适的装备，与队友保持良好配合，是提高血DK练级速度的关键。希望本文能为玩家在《魔兽世界》中轻松成为练级达人提供帮助。

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