Machine Learning Infrastructure as a Service (ML IaaS) Reviews and Ratings

What is ML IaaS (Machine Learning Infrastructure as a Service)?

Machine learning Infrastructure as a Service (ML IaaS) is an infrastructure delivery model that provisions virtualized or bare-metal infrastructure resources that are performance optimized for compute-intensive ML and DNN workloads . The ML IaaS market is characterized by core capabilities, including hardware-accelerated, high-performance compute platforms, usually augmented by accelerator technologies like GPU, FPGA or custom processors like Google TPU. Due to the unique nature of hardware-involved DNN frameworks (such as TensorFlow, pyTorch, Caffe and MxNet), they need to be reconfigured and integrated with appropriate libraries to take full advantage of ML IaaS capabilities.

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Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

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Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

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IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.

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Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement.

Microsoft Security helps protect people and data against cyberthreats to give peace of mind.

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Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

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Accubits Technologies is a specialized software development and technology consulting firm providing services to a wide range of organizations, from tech startups and governments to SMEs and large corporations. The company offers in-depth product development expertise and digital transformation solutions that enable these organizations to stay competitive and prepared for the future. The solutions provided are data-driven and applicable across mobile, cloud, and web platforms. With its headquarters sited in Virginia, USA, Accubits has expanded its presence to various international locations, including Australia, Canada, UAE, Hong Kong, India, Norway, Singapore, Indonesia, and Switzerland. The emphasis on integrating emerging technologies and fostering a team of innovators positions the company strategically in the evolving technological landscape.

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Valohai is a platform dedicated to Machine Learning Operations (MLOps). It solves the problem of comprehensive orchestration of machine learning tasks, providing a unified framework for machine learning professionals for conducting numerous kinds of experiments. The tools provided by Valohai facilitate an efficient, collaborative environment for professionals to work on various models and metric, thereby accelerating the development process and enhancing the strength of the resultant products. The platform is particularly designed for machine learning pioneers, enabling them to optimize their working capabilities. Its main aim is to extend the potential applications of machine learning beyond conventional boundaries.

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