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Generative AI Infrastructure Providers (Transitioning to Generative AI Specialized Infrastructure)

Generative AI Infrastructure Providers Reviews and Ratings

What are Generative AI Infrastructure Providers?

Generative AI (GenAI) Infrastructure providers are infrastructure vendors (such as cloud platforms and hardware manufacturers) that offer underlying technology, tools and hardware that other companies and developers use to build and deploy specific generative AI applications in production. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. These providers offer scalable, reliable and cost-effective solutions for generative AI projects, which can be complex and expensive to train and deploy. Generative AI infrastructure providers focus on research and developing the foundational AI techniques, while application developers focus on building products using those foundational technologies. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.

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Logo of Amazon Web Services

Amazon Web Services

By Amazon Web Services (AWS)

4.4
(33 Ratings)

Amazon Web Services is a cloud computing software that offers on-demand computing power, storage, and a broad set of services such as database management, networking, analytics, machine learning, and security. It provides infrastructure resources and platform tools that enable organizations to deploy, manage, and scale applications and workloads in the cloud. The software addresses challenges related to infrastructure scalability, data storage, cost management, disaster recovery, and application deployment by offering a pay-as-you-go model and a range of configurable resources suited for different business needs.

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Logo of Microsoft Azure

Microsoft Azure

By Microsoft

4.3
(12 Ratings)

Microsoft Azure is a cloud computing software that offers a range of services including virtual machines, databases, networking, storage, artificial intelligence, and analytics. The software enables organizations to build, deploy, and manage applications across a global network of data centers. It allows users to scale resources as required and supports multiple operating systems and development frameworks. Azure provides tools for security, compliance, and disaster recovery to help address business continuity challenges. It is designed to support workloads from simple web hosting to complex data analysis, allowing businesses to optimize infrastructure management and operational efficiency.

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Logo of Dell Generative AI Solutions

Dell Generative AI Solutions

By Dell Technologies

4
(1 Rating)

Dell Generative AI Solutions is a software that enables organizations to deploy, manage, and scale generative artificial intelligence workloads. The software provides a suite of tools for model development, training, and inference, facilitating the integration of AI capabilities into enterprise environments. It supports workloads such as natural language processing, computer vision, and data analysis to automate processes and generate content based on large data sets. The software addresses the complexity of implementing generative AI by offering infrastructure management, data lifecycle controls, and security features. Dell Generative AI Solutions is designed to help enterprises enhance productivity, streamline decision-making, and accelerate innovation through the adoption of AI-driven technologies.

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Logo of Google Cloud Platform

Google Cloud Platform

By Google

5
(1 Rating)

Google Cloud Platform is a software that offers a suite of cloud computing services, including infrastructure as a service, platform as a service, and serverless computing environments. It provides tools for computing, storage, networking, data analytics, artificial intelligence, and machine learning. The software supports the deployment and scaling of applications and services on a highly available and secure global infrastructure. It enables organizations to manage workloads, develop and run applications, and analyze large volumes of data to address business challenges such as resource optimization, faster time-to-market, and scalability for enterprise and developer needs.

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Logo of NVIDIA DGX Cloud

NVIDIA DGX Cloud

By NVIDIA

4
(1 Rating)

NVIDIA DGX Cloud is a software platform designed to provide access to AI supercomputing resources in the cloud. It enables users to run advanced machine learning and deep learning workloads without managing infrastructure, offering features such as GPU-accelerated computing environments and scalable performance for training and inference tasks. The software addresses the challenge of deploying and managing high-performance computing resources required for complex data science and artificial intelligence projects, supporting development workflows with automation, collaboration tools, and integrated monitoring. DGX Cloud aims to streamline the process of building, testing, and scaling AI models by leveraging cloud-based GPU clusters configured for professional data and model handling.

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Logo of Domino Enterprise AI Platform

Domino Enterprise AI Platform

By Domino Data Lab

Domino Enterprise AI Platform is a software designed to enable data science, IT, and AI/ML teams to develop, deploy, and manage models within enterprise environments. The software provides a centralized platform for collaboration, reproducibility, and governance of data workflows, supporting various programming languages and tools. It integrates with existing infrastructure, facilitating access to scalable computing resources and version control for experiments. By streamlining model lifecycle management, the software addresses business challenges related to operationalizing artificial intelligence initiatives, ensuring compliance, and improving productivity across analytics-driven projects. Domino is the open platform to industrialize all AI and drive real outcomes — applications, models, and agents — by connecting your existing infrastructure to deliver value on a secure, scalable platform with built-in cost optimization and governance.

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Logo of IBM watsonx

IBM watsonx

By IBM

IBM watsonx is a software platform designed to facilitate the development, training, and deployment of artificial intelligence models and applications. The software provides tools for foundation model management, generative AI workflows, and data governance, allowing organizations to build custom AI solutions tailored to specific business needs. It supports data preparation, model lifecycle management, and observability, aiming to address challenges related to scalable AI implementation and compliance. By integrating capabilities for accessing structured and unstructured data, IBM watsonx seeks to streamline workflows in environments that require automation, decision support, and advanced analytics, assisting organizations in managing the complexities associated with operationalizing artificial intelligence.

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Gartner Research

Market Guide for Generative AI Infrastructure Providers (Transitioning to Generative AI Specialized Infrastructure)

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Amazon Web Services

Popular Product Comparisons

Amazon Web Services vs NVIDIA DGX CloudAmazon Web Services vs Microsoft AzureMicrosoft Azure vs Dell Generative AI SolutionsMicrosoft Azure vs Google Cloud PlatformMicrosoft Azure vs NVIDIA DGX Cloud

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