新场景新业态 激活假日消费新活力
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新场景新业态 激活假日消费新活力
央视网动静（新闻联播）：本年的端五假期，跟着新场景新业态的不竭出现，消费市场显现出别样的生气与新意，释放出“沐日经济”的新活力。 端五假期。商圈消费焕发新活力。商务部商务年夜数据显示。假期里全国重点零售和餐饮企业发卖额比客岁同期增加9.8%。全国示范步行街客流量、营业额同比别离增加11.7%和9.2%。家电、家具、通信器材发卖额同比别离增加11.7%、17.7%和35.5%。全国什物商品网上零售额同比增加30%以上。 上海环绕各年夜商圈推出多条城市安步线路。为消费者打造融会式的沐日消费新体验，将美食、购物、艺术表演、阛阓等多类业态“串珠成链”。在一场“以旧换新”主题的阛阓上。十几个家电卖场、家电产物品牌集中走进社区。 消费新场景也在不竭出现。在重庆主城区。开辟消费新空间，本地充实操纵原址防浮泛。暖锅、茶社、书屋、背篓菜市吸引了浩繁市平易近旅客打卡。感触感染味觉和视觉的全新体验。在贵州贵阳。假期时代天天欢迎消费者在3万人次以上，具有70多年汗青的印刷厂“变身”潮水堆积地，此中8个是贵阳首店，新签约品牌106个。 这个假期。包含着丰硕“国潮”元素的沉醉式出游为消费者带来新体验，传统文化也在延续为沐日消费赋能。各地举行粽子文化节、龙舟风俗赛、古风阛阓、非遗展现、汉服体验等勾当，推动文化和旅游深度融会。消费场景不竭推陈出新，“热火朝天”的端五假期助力消费活力进级，消费新业态不竭出现。 【编纂:唐炜妮】。
本文心得:
成都市是一座历史悠久、文化底蕴深厚的城市，拥有许多富有魅力的古镇。这些古镇以其独特的历史风貌和美丽的自然景观吸引着众多游客。那么，成都哪个古镇最漂亮呢？让我们一起探索一下。
古镇A位于成都的南部，是一座风景优美、古韵悠长的古镇。这里的建筑典型地展示了中国传统的建筑风格，使人仿佛置身于古代的仙境。古镇A还坐落在一片秀丽的山水之间，让人陶醉在自然之美中。无论是古老的街道还是古色古香的建筑，都给人一种宁静和平和的感觉。因此，古镇A被认为是成都最漂亮的古镇之一。
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。
本文心得:
在互联网发展的今天，越来越多的人开始通过网络平台寻找私活。私活即个人接外包项目的工作，可以给自己带来更多的收入和灵活的工作时间。然而，我们应该如何选择合适的平台来找私活呢？本文将介绍一些常见的平台，分析它们的优缺点，面对众多的网络平台，帮助大家找到适合自己的私活平台。
自由职业平台是很多人找私活的首选。因为这些平台可以提供较为稳定的项目来源。例如。一些知名的自由职业平台如猪八戒网、智联招聘等，都有大量的项目发布和接包人员注册。在这些平台上，你可以发布自己的简历或服务，然后等待客户联系或选择招标制作。