今日行业协会发布最新研究报告,《古剑奇谭》配置解析:畅玩古风仙侠世界的硬件要求揭秘

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本周官方渠道披露研究成果:本月行业协会发布重大政策,《古剑奇谭》配置解析:畅玩古风仙侠世界的硬件要求揭秘

《古剑奇谭》作为一款深受玩家喜爱的古风仙侠角色扮演游戏,自问世以来便以其精美的画面、丰富的剧情和独特的角色设定赢得了无数玩家的喜爱。然而,想要畅玩这款游戏,了解其配置要求是必不可少的。本文将为您详细解析《古剑奇谭》的配置需求,助您轻松畅游古风仙侠世界。 ### 硬件配置要求 #### CPU 《古剑奇谭》对CPU的要求并不高,主流的处理器即可满足游戏运行。推荐配置为Intel Core i3或AMD Phenom II X4,而最低配置则可以采用Intel Core 2 Duo或AMD Athlon II X2。 #### 内存 游戏对内存的要求相对较高,推荐配置为4GB RAM,这样在运行游戏时可以保证流畅度。最低配置为2GB RAM,但可能会出现卡顿现象。 #### 显卡 显卡是影响游戏画面表现的关键因素。《古剑奇谭》推荐配置为NVIDIA GeForce GTX 460或AMD Radeon HD 6850,这两款显卡可以保证游戏在最高画质下流畅运行。最低配置为NVIDIA GeForce GT 430或AMD Radeon HD 5450,但画面表现会受到影响。 #### 硬盘 硬盘空间方面,《古剑奇谭》需要至少10GB的可用空间。建议使用SSD(固态硬盘)来提高游戏加载速度,提升游戏体验。 #### 操作系统 游戏支持Windows XP、Windows Vista、Windows 7和Windows 8操作系统。推荐使用Windows 7或Windows 8,以保证游戏运行稳定。 #### 音频设备 《古剑奇谭》对音频设备的要求不高,只要具备基本的音频输出功能即可。推荐使用高品质的耳机或音响,以更好地体验游戏中的音乐和音效。 ### 游戏优化建议 #### 系统优化 为了确保游戏运行流畅,建议在游戏前对系统进行以下优化: 1. 关闭不必要的后台程序,释放CPU和内存资源; 2. 更新显卡驱动程序,确保显卡性能得到充分发挥; 3. 调整系统视觉效果,例如关闭透明效果、动画效果等。 #### 游戏设置 在游戏设置中,可以根据自己的硬件配置调整画面质量。以下是一些优化建议: 1. 画面分辨率:建议设置为最高分辨率,以获得最佳视觉效果; 2. 抗锯齿:开启抗锯齿功能,提高画面平滑度; 3. 阴影质量:根据显卡性能调整阴影质量,以平衡画面效果和运行流畅度。 ### 总结 通过以上对《古剑奇谭》配置要求的解析,相信您已经对这款游戏的硬件需求有了清晰的认识。只要您的电脑满足最低配置要求,便可以轻松畅游古风仙侠世界。祝您游戏愉快!

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
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