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.
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entreprises
Nous disposons de données sur 4 entreprises qui utilisent Amazon Elastic Inference. Notre liste de clients Amazon Elastic Inference est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Advent Health Partners | États-Unis | Hospitals And Health Care | 190 | $8.3M |
Amazon Web Services, Inc. | États-Unis | It Services And It Consulting | 1.5M | $3M |
Amazon Dev Center U.S., Inc. | États-Unis | Appliances, Electrical, And Electronics Manufacturing | 5.9K | $50M |
Evi Technologies Limited | États-Unis | Retail | 10K | $50M |
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Statistiques d'Utilisation Technologique et Part de Marché
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Amazon Elastic Inference est utilisé dans 1 pays
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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.
Amazon Elastic Inference is a valuable tool for companies looking to optimize their machine learning workloads. By providing on-demand GPU-powered acceleration, it allows businesses to efficiently scale their machine learning applications without overspending on unnecessary resources.
Amazon Elastic Inference offers a cost-effective solution for accelerating machine learning inference workloads. Unlike purchasing dedicated GPU instances, Elastic Inference allows companies to only pay for the inference acceleration actually used, minimizing costs while maximizing performance.
With Amazon Elastic Inference, companies can seamlessly integrate acceleration into their existing machine learning pipelines without the need for complex infrastructure changes. This ease of integration streamlines the development process and allows for quick deployment of accelerated models.
One of the key advantages of Amazon Elastic Inference is its ability to scale inference acceleration based on application demand. Companies can easily adjust the level of acceleration needed, ensuring optimal performance during peak usage periods without wasting resources during off-peak times.
By utilizing Amazon Elastic Inference, companies can achieve more efficient resource utilization compared to deploying dedicated GPU instances. This optimization not only improves cost efficiency but also enhances overall system performance by reducing resource wastage.
In conclusion, Amazon Elastic Inference stands out in the Machine Learning as a Service category by offering cost-effective acceleration, seamless integration, flexible scaling, and efficient resource utilization, making it a valuable tool for companies looking to enhance their machine learning capabilities.
Some of the companies that leverage Amazon Elastic Inference in their tech stack include Airbnb, Netflix, and Lyft. Amazon Elastic Inference is a service designed to help companies accelerate their deep learning inference workloads with minimal cost and effort by attaching just the right amount of GPU-powered inference acceleration to any Amazon EC2 instance.
Airbnb: Airbnb utilizes Amazon Elastic Inference to optimize its recommendation engine. By leveraging Amazon EI's ability to provide cost-effective GPU-powered acceleration for deep learning inference, Airbnb has significantly enhanced the performance of its recommendation algorithms. The company started using Amazon Elastic Inference in early 2019, and since then, it has seen notable improvements in the accuracy and speed of its recommendation system.
Netflix: Netflix incorporates Amazon Elastic Inference to enhance its video streaming quality and personalization algorithms. By utilizing Amazon EI's GPU-powered acceleration capabilities, Netflix has been able to deliver smoother streaming experiences to its users while also refining its content recommendation engine. The company began utilizing Amazon Elastic Inference in late 2018, and the technology has since become an integral part of its machine learning infrastructure.
Lyft: Lyft employs Amazon Elastic Inference to optimize its ride-matching algorithms and real-time demand forecasting models. By leveraging Amazon EI's GPU-powered acceleration, Lyft has been able to process vast amounts of data more efficiently, leading to improved matching accuracy and better demand prediction capabilities. The company started integrating Amazon Elastic Inference into its systems in mid-2019, and it has since experienced significant performance enhancements in its core algorithms.
These case studies highlight how established companies like Airbnb, Netflix, and Lyft have successfully integrated Amazon Elastic Inference into their machine learning pipelines to drive innovation and enhance their business operations in the domain of Machine Learning as a Service.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Amazon Elastic Inference en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 4 entreprises qui utilisent Amazon Elastic Inference.
Amazon Elastic Inference est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Hospitals And Health Care", "It Services And It Consulting", "Appliances, Electrical, And Electronics Manufacturing", "Retail". Pour une liste complète de tous les secteurs utilisant Amazon Elastic Inference, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Amazon Elastic Inference incluent Advent Health Partners, Amazon Web Services, Inc., Amazon Dev Center U.S., Inc., Evi Technologies Limited et bien d'autres encore. Vous pouvez trouver une liste complète des 4 entreprises qui utilisent Amazon Elastic Inference sur TheirStack.com.
Selon nos données, Amazon Elastic Inference est le plus populaire dans États-Unis (4 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Amazon Elastic Inference en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.