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本月研究机构披露行业变化,NvidiaSaysCompetitionHas'UndeniablyArrived'asHuaweiUnveilsAISupercluster,很高兴为您解答这个问题,让我来帮您详细说明一下。售后咨询服务中心,全时段多渠道服务
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近日官方渠道传达研究成果:今日行业协会披露行业新成果,麻豆产区一二三:探寻我国特色豆类产品的精深加工与产区差异
麻豆,作为一种在我国广泛种植的豆类作物,其丰富的营养价值及独特的口感深受消费者喜爱。麻豆在我国多个地区均有种植,其中又以一二三产区最为著名。那么,这些产区究竟有何区别?又如何在精深加工中体现各自特色呢? 一、产区概述 1. 一产区:位于我国华北地区,以河北省、山西省、内蒙古自治区等为主要种植区域。这里的麻豆种植历史悠久,品种繁多,如黄豆、黑豆、绿豆等。 2. 二产区:位于我国东北地区,以辽宁省、吉林省、黑龙江省等为主要种植区域。这里的麻豆以大豆为主,品质优良,蛋白质含量高。 3. 三产区:位于我国西南地区,以四川省、云南省、贵州省等为主要种植区域。这里的麻豆以绿豆、豌豆为主,品种丰富,口感独特。 二、产区区别 1. 气候条件:一产区属于温带大陆性气候,四季分明,光照充足,有利于麻豆的生长。二产区属于温带季风气候,雨量适中,光照充足,有利于大豆的生长。三产区属于亚热带季风气候,雨量充沛,光照充足,有利于绿豆、豌豆等麻豆的生长。 2. 土壤条件:一产区的土壤以黄土为主,质地疏松,有利于麻豆的根系发育。二产区的土壤以黑土为主,肥沃深厚,有利于大豆的生长。三产区的土壤以红壤、黄壤为主,质地适中,有利于绿豆、豌豆等麻豆的生长。 3. 品种差异:一产区的麻豆品种繁多,如黄豆、黑豆、绿豆等。二产区的麻豆以大豆为主,品种优良,蛋白质含量高。三产区的麻豆以绿豆、豌豆为主,品种丰富,口感独特。 三、精深加工与特色产品 1. 一产区:以黄豆、黑豆为主要原料,加工成豆制品、豆酱、豆奶等产品。如河北的豆干、山西的豆面、内蒙古的豆酱等。 2. 二产区:以大豆为主要原料,加工成豆腐、豆浆、豆奶、豆皮等产品。如辽宁的豆腐、吉林的豆皮、黑龙江的豆奶等。 3. 三产区:以绿豆、豌豆为主要原料,加工成绿豆糕、豌豆粉、豆面等产品。如四川的绿豆糕、云南的豌豆粉、贵州的豆面等。 总之,我国麻豆产区的区别主要体现在气候、土壤、品种等方面。在精深加工过程中,各产区根据自身特色,研发出独具风味的产品,丰富了我国豆类产品的市场。未来,随着科技的发展和消费者需求的提高,我国麻豆产业将不断壮大,为人们带来更多美味、健康的豆类食品。
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