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Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
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Amazon Elastic Inference 被用于 1 个国家
Technology
is any of
Amazon Elastic Inference
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
---|---|---|---|---|---|
美国 | It Services And It Consulting | 1.5M | $3M | Amazon Elastic Inference | |
美国 | Appliances, Electrical, And Electronics Manufacturing | 5.9K | $50M | Amazon Elastic Inference | |
美国 | Hospitals And Health Care | 190 | $8.3M | Amazon Elastic Inference |
我们掌握了关于使用Amazon Elastic Inference的4家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
Amazon Elastic Inference is a powerful technology offered by Amazon Web Services (AWS) that allows users to attach low-cost GPU-powered acceleration to Amazon EC2 and SageMaker instances. It enables users to speed up the performance of deep learning inference workloads without the need to provision or manage separate inference acceleration infrastructure. By leveraging Amazon Elastic Inference, businesses can optimize their machine learning applications for enhanced efficiency and cost-effectiveness.
Amazon Elastic Inference falls under the category of Machine Learning as a Service (MLaaS), providing on-demand access to machine learning resources without the complexities of managing hardware or infrastructure. With Amazon Elastic Inference, users can scale their machine learning models seamlessly to meet varying workload demands, ensuring optimal performance and resource utilization. This service simplifies the deployment and operation of machine learning applications, enabling organizations to focus on innovation and driving business value.
Amazon Elastic Inference was founded by Amazon Web Services in 2018 with the aim of democratizing access to scalable machine learning acceleration. The motivation behind the development of this technology was to address the growing demand for cost-effective and efficient inference acceleration solutions for machine learning workloads. By introducing Amazon Elastic Inference, AWS aimed to streamline the process of integrating GPU-powered acceleration into existing machine learning workflows, empowering users to achieve performance gains without significant upfront investments.
In terms of current market share, Amazon Elastic Inference has gained significant traction within the MLaaS space, with a growing number of organizations adopting this technology to enhance their machine learning capabilities. As the demand for scalable and cost-efficient machine learning solutions continues to rise, the market share of Amazon Elastic Inference is expected to expand further in the future. With the continuous evolution of the machine learning landscape, Amazon Elastic Inference is poised to play a key role in driving innovation and accelerating the adoption of machine learning technologies across industries.
您可以访问 TheirStack.com,获取使用 Amazon Elastic Inference 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 4 家使用 Amazon Elastic Inference 的公司的数据。
Amazon Elastic Inference 被广泛应用于包括 "It Services And It Consulting", "Appliances, Electrical, And Electronics Manufacturing", "Hospitals And Health Care" 在内的各个行业的各种组织中。欲了解所有使用 Amazon Elastic Inference 的行业的完整列表,请访问 TheirStack.com。
一些使用Amazon Elastic Inference的公司包括Amazon Web Services, Inc., Amazon Dev Center U.S., Inc., Advent Health Partners以及更多公司。您可以在TheirStack.com上找到使用Amazon Elastic Inference的4家公司完整列表。
根据我们的数据,Amazon Elastic Inference 在 美国 (3 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Amazon Elastic Inference,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。