Amazon Web Services (AWS) Reviews, Ratings & Features 2026 | Gartner Peer Insights

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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Machine Learning Infrastructure as a Service

Amazon EC2 P3 Instances

Amazon Web Services (AWS)

IT Associate

We are heavily invested using many EC2 options for our environment. These are initially created by a pipeline and we manage the PLM application doing AMI backups and monitoring port access.

<50M USD

50M - 250M USD

500M - 1B USD

250M - 500M USD

30B + USD

Gov't/PS/ED <5,000 Employees

10B - 30B USD

Gov't/PS/ED 5,000 - 50,000 Employees

1B - 3B USD

Developer

Creating a instance has been very user friendly since Amazons entry after the azure. Server support has been revolutionizing since its entering. Only the integration of Terra from is the only Drawback for this.

IT Services Associate

My overall experiences has been positive and especially for GPU heavy workloads, Overall they are reliable for demanding AI and computing tasks

Microsoft

Google

Other...

E2E Networks

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.

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Reviews

Ratings Overview

Overall experience with

Favorable Review

Cost Considerations Needed Despite Strong Performance For Intensive GPU Workloads

Critical Review

Instance creation is easy but creating module using Terra Form is not.

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