AWS推出了896核心实例，是竞争对手提供的两倍。
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AWS推出了896核心实例，是竞争对手提供的两倍。
Liftr Insights data show how far ahead AWS is with memory-optimized cloud instancesAUSTIN, Texas, June 11, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, revealed today that it detected AWS's recent launch of an 896-core instance type, surpassing the previous highest core counts by any cloud provider.This is important to companies looking to improve performance. If they are not using these, their competitors might be.Liftr Insights identifies a new 896-Core cloud instance, double what competitors offerPost this Liftr Insights identifies a new 896-Core cloud instance, double what competitors offer Liftr data show the previous AWS high core-count instance had 448 cores and first appeared in May 2021. Prior to that, the largest instance available in the six largest cloud providers (representing over 75% of the public cloud space) was a 384-core instance first offered by Azure in 2019.The prices for this new instance type range by configuration and city from ~0 per hour to over 0 per hour with an average price of 3.10.Companies are willing to pay these prices to achieve high thread counts that improve performance, especially for databases like SAP HANA and Oracle. Liftr Insights tracks many characteristics, including the high memory configuration associated with these instances and the on-demand price."It's not advantageous for AWS to deploy solutions that won't sell, especially at these price-points," says Tab Schadt, CEO of Liftr Insights. "They spend significant time and money on their market intelligence. Other companies can benefit from their research about what they are offering and where they offer them at a fraction of that cost."Consistent with other AWS deployments, this instance first appeared in the East and West coast regions of the US, but they also deployed these instance types in Seoul and Sydney. The 448-core instances were deployed early on across the globe, but initial appearances were in Dublin, Frankfurt and Singapore. Deployments of the 448-core instance did not appear in Seoul and Sydney until 3 and 6 months later, respectively. Deploying to those non-US regions from the start for this 896-core instance is a strong sign of demand in those areas."Perhaps we'll see larger instances in the near future, showing even more demand for high performance workloads," says Schadt. "At the least, we'll keep an eye out to see if and when Azure or other cloud providers respond in kind."About Liftr InsightsLiftr Insights generates reliable market intelligence using unique data, including details about configurations, components, deployment geo, and pricing for:Server processors: Intel Xeon, AMD EPYC, Aliyun Yitian, AWS Graviton, and Ampere Computing AltraDatacenter compute accelerators: GPUs, FPGAs, TPUs, and AI chips from NVIDIA, Xilinx, Intel, AMD, AWS, and GoogleAs shown on the Liftr Cloud Regions Map at , among the companies tracked are Amazon Web Services, Microsoft Azure, Alibaba Cloud, Google Cloud, Oracle Cloud, Tencent Cloud, CoreWeave, Lambda, and Vultr as well as semiconductor vendors AMD, Ampere, Intel, and NVIDIA. Liftr Insights subject matter experts translate company-specific service provider data into actionable alternative data. Liftr and the Liftr logo are registered service marks of Liftr Insights. The following are trademarks and/or service marks of Liftr Insights: Liftr Insights, Cloud Components Tracker, Intelligence Compute Tracker, and Liftr Cloud Regions Map.The following are registered intellectual property marks, trademarks, or service marks of their respective companies:Amazon Web ServicesMicrosoft AzureAlibaba CloudGoogle CloudOracle CloudTencent CloudCoreWeaveLambdaVultrIntel CorporationAmpere ComputingNVIDIAAMDARMSOURCE Liftr Insights。
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Barrington维持CRA国际(CRAI.US)买入评级，维持目标价186美元
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Barrington维持CRA国际(CRAI.US)买入评级，维持目标价186美元
Barrington阐发师Kevin Steinke保持$CRA国际 (CRAI.US)$买入评级。保持方针价186美元。按照TipRanks数据显示。总平均回报率为14.7%，该阐发师近一年总胜率为57.4%。提醒:TipRanks为自力第三方、供给金融阐发师的阐发数据，并计较阐发师保举的平均回报率和胜率。供给的信息并不是投资建议、仅供参考。本文不合错误评级数据和陈述的完全性与正确性做出承认、声明或包管。TipRanks供给每位阐发师的星级、最高为5颗星，阐发师星级代表阐发师所有保举的过往表示，经由过程阐发师的总胜率和平均回报率综合计较得出，星星越多，则该阐发师过往表示越优良。阐发师总胜率为近一年阐发师的评级成功次数占总评级次数的比率。评级的成功与否，取决于TipRanks的虚拟投资组合是不是从该股票中发生正回报。总平均回报率为基于阐发师的初始评级建立虚拟投资组合，并按照评级转变对组合进行调剂，在近一年中该投资组合所取得的回报率。 .app-kaihu-qr {text-align: center;padding: 20px 0;} .app-kaihu-qr span {font-size: 18px; line-height: 31px;display: block;} .app-kaihu-qr img {width: 170px;height: 170px;display: block;margin: 0 auto;margin-top: 10px;} 股市回暖，抄底炒股先开户！智能定投、前提单、个股雷达……送给你>>。
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