List of the Top 22 Infrastructure-as-a-Service (IaaS) Providers for Google Cloud Platform in 2026

Google Compute Engine stands out as a powerful Infrastructure-as-a-Service (IaaS) platform that delivers scalable computing power via virtual machines. It allows users to access resources as needed, ensuring they only incur costs for what they utilize, which facilitates easy scaling of infrastructure to accommodate fluctuating workloads. This service removes the necessity for physical servers, providing enhanced flexibility, security, and rapid resource deployment to align with business demands. Additionally, new users are granted $300 in free credits, allowing them to experience the diverse functionalities and scalability of Google Compute Engine's cloud offerings.

Dragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.

RunPod offers a robust cloud infrastructure designed for effortless deployment and scalability of AI workloads utilizing GPU-powered pods. By providing a diverse selection of NVIDIA GPUs, including options like the A100 and H100, RunPod ensures that machine learning models can be trained and deployed with high performance and minimal latency. The platform prioritizes user-friendliness, enabling users to create pods within seconds and adjust their scale dynamically to align with demand. Additionally, features such as autoscaling, real-time analytics, and serverless scaling contribute to making RunPod an excellent choice for startups, academic institutions, and large enterprises that require a flexible, powerful, and cost-effective environment for AI development and inference. Furthermore, this adaptability allows users to focus on innovation rather than infrastructure management.

Simr, previously known as UberCloud, is transforming simulation operations through its premier offering, Simulation Operations Automation (SimOps). This innovative solution is crafted to simplify and automate intricate simulation processes, thereby boosting productivity, collaboration, and efficiency for engineers and scientists in numerous fields such as automotive, aerospace, biomedical engineering, defense, and consumer electronics. By utilizing our cloud-based infrastructure, clients can benefit from scalable and budget-friendly solutions that remove the requirement for hefty upfront hardware expenditures. This approach guarantees that users gain access to the necessary computational resources precisely when needed, ultimately leading to lower costs and enhanced operational effectiveness. Simr has earned the trust of some of the world's top companies, including three of the seven leading global enterprises. A standout example of our impact is BorgWarner, a Tier 1 automotive supplier that employs Simr to streamline its simulation environments, resulting in marked efficiency improvements and fostering innovation. In addition, our commitment to continuous improvement ensures that we remain at the forefront of simulation technology advancements.

Designed for enterprises, this solution combines affordability with automation and a developer-friendly approach. It features an API that is compatible with AWS and CCE, along with integrated support for Teams. Users can access instances, a Virtual Private Cloud (VPC), firewalls, and load balancers. The network is robust, offering DDoS protection and direct connectivity to AWS, GCE, Azure, and various other platforms. AWS's enterprise cloud stands out by providing exceptional price performance, with potential savings of up to 90%. Utilizing redundant infrastructure that incorporates blade server technology and converged storage area networks (SAN), the system ensures reliability. Additionally, live migration and ephemeral volume support contribute to maintaining uninterrupted service. To further enhance security, employing a firewall alongside a DDoS protected, carrier-grade network is highly recommended for safeguarding assets. By leveraging these features, businesses can confidently expand their operations while minimizing risks and costs.

Datadog serves as a comprehensive monitoring, security, and analytics platform tailored for developers, IT operations, security professionals, and business stakeholders in the cloud era. Our Software as a Service (SaaS) solution merges infrastructure monitoring, application performance tracking, and log management to deliver a cohesive and immediate view of our clients' entire technology environments. Organizations across various sectors and sizes leverage Datadog to facilitate digital transformation, streamline cloud migration, enhance collaboration among development, operations, and security teams, and expedite application deployment. Additionally, the platform significantly reduces problem resolution times, secures both applications and infrastructure, and provides insights into user behavior to effectively monitor essential business metrics. Ultimately, Datadog empowers businesses to thrive in an increasingly digital landscape.

Effortlessly expand your applications from their inception to a worldwide scale without the hassle of managing infrastructure. The platform allows for swift evolution, enabling the use of various popular programming languages alongside numerous development tools. You can rapidly build and launch applications using familiar languages or integrate your favored language runtimes and frameworks with ease. Furthermore, resource management can be controlled via the command line, enabling you to troubleshoot source code and run API back ends flawlessly. This setup lets you focus on your coding endeavors while the management of the core infrastructure is taken care of. You can also bolster the security of your applications with features such as firewall protections, rules for identity and access management, and the automatic handling of SSL/TLS certificates. Operating within a serverless environment removes the worries of over or under provisioning, while App Engine smartly adjusts to your application's traffic and uses resources only when your code is in operation, promoting both efficiency and cost savings. This streamlined method not only enhances development productivity but also encourages innovation by freeing developers from the limitations associated with conventional infrastructure challenges. With these advantages, you are empowered to push the boundaries of what is possible in application development.

Netreo stands out as a premier full-stack platform for managing and observing IT infrastructure. It serves as a comprehensive source of truth for proactive monitoring of performance and availability across extensive enterprise networks, infrastructures, and applications. Our platform is designed to cater to the needs of: IT executives, who benefit from complete visibility into business services, down to the underlying infrastructure and networks that sustain them. IT Engineering teams, who utilize it as a decision-making tool to effectively plan and design modern solutions. IT Operations groups, who gain real-time insights into issues within their environments, allowing them to identify bottlenecks and understand their impact on users. These valuable insights extend to mixed systems and vendor environments that are dynamic and ever-evolving. With ongoing support for over 350 integrations, we continue to expand our partnerships with network, storage, virtualization, and server vendors. As a result, organizations can adapt seamlessly to the complexities of their IT landscapes.

Effortlessly transition and adapt your VMware applications to Google Cloud without the need to change your existing applications, tools, or workflows. This service includes all essential hardware and VMware licenses necessary for operating within a specialized VMware SDDC on Google Cloud. Unlike other options, we enhance the usage of VMware services by offering integrated identities, management, support, monitoring, as well as all required licenses, cloud services, and billing solutions, streamlining the entire process. Embrace the adaptability and scalability that cloud computing provides; you can set up a new private cloud in about 30 minutes, complete with dynamic resource management and auto-scaling features. Your critical enterprise applications can continue to run in the cloud without requiring any changes. Google Cloud VMware Engine seamlessly collaborates with leading database, storage, disaster recovery, and backup ISV solutions, creating a well-rounded ecosystem. Built on the solid and scalable foundation of Google Cloud, VMware Engine ensures fully redundant networking, which is crucial for supporting even the most demanding workloads. This infrastructure empowers organizations to enhance their cloud experience while maintaining optimal performance and dependability. As a result, businesses can confidently leverage the power of the cloud to drive innovation and efficiency in their operations.

Applications are frequently dispersed and fragmented across multiple platforms. The extensive adoption of varied infrastructure stacks in multi-cloud settings contributes to heightened complexity as users attempt to access applications and interact efficiently. As a result, this complexity leads to a diminished experience with applications, increased operational costs, and insufficient security measures. In today's multi-cloud environment, there is an urgent demand for a new Application eXperience Infrastructure (AXI) that not only enhances user engagement with applications but also guarantees secure access and optimizes cloud spending, thereby enabling organizations to focus on realizing their business objectives. The Prosimo Application eXperience Infrastructure serves as a cohesive, cloud-native framework that positions itself in front of applications, delivering consistently enhanced, secure, and cost-efficient experiences. This innovative solution provides cloud architects and operations teams with an intuitive, decision-driven platform. By leveraging sophisticated data insights and machine learning capabilities, the Prosimo AXI platform can achieve remarkable results in just minutes, establishing itself as a crucial asset for contemporary businesses. Additionally, with the AXI, organizations can simplify their workflows and significantly boost the overall performance of their applications, ensuring they remain competitive in a rapidly evolving digital landscape.

Today, companies have a wide array of choices for training their deep learning and machine learning models in a cost-effective manner. AI accelerators are designed to address multiple use cases, offering solutions that vary from budget-friendly inference to comprehensive training options. Initiating the process is made easy with a multitude of services aimed at supporting both development and deployment stages. Custom ASICs known as Tensor Processing Units (TPUs) are crafted specifically to optimize the training and execution of deep neural networks, leading to enhanced performance. With these advanced tools, businesses can create and deploy more sophisticated and accurate models while keeping expenditures low, resulting in quicker processing times and improved scalability. A broad assortment of NVIDIA GPUs is also available, enabling economical inference or boosting training capabilities, whether by scaling vertically or horizontally. Moreover, employing RAPIDS and Spark in conjunction with GPUs allows users to perform deep learning tasks with exceptional efficiency. Google Cloud provides the ability to run GPU workloads, complemented by high-quality storage, networking, and data analytics technologies that elevate overall performance. Additionally, users can take advantage of CPU platforms upon launching a VM instance on Compute Engine, featuring a range of Intel and AMD processors tailored for various computational demands. This holistic strategy not only empowers organizations to tap into the full potential of artificial intelligence but also ensures effective cost management, making it easier for them to stay competitive in the rapidly evolving tech landscape. As a result, companies can confidently navigate their AI journeys while maximizing resources and innovation.

Create, implement, manage, connect, and protect all your applications in any cloud setting. VMware's Multi-Cloud solutions offer a comprehensive cloud operating framework designed for diverse application types. Accelerate your digital transformation with the most dependable and widely embraced cloud infrastructure available today. Leverage the same expertise you use in your on-premises data center while tapping into a broad network that includes six leading hyperscale public cloud providers and over 4,000 VMware Cloud Provider Partners. By adopting a hybrid cloud strategy through VMware Cloud Foundation, you can maintain consistent infrastructure and operations for both legacy and new cloud-native applications, from your data center to the cloud, and even to the edge. This consistency not only enhances agility but also reduces complexity, costs, and risks. You have the ability to build, operate, and oversee modern applications across various cloud environments, meeting diverse needs with resources sourced from both on-premises and public cloud infrastructures. Additionally, you can effortlessly manage both containerized and traditional VM-based workloads on a single, unified platform, ensuring both efficiency and flexibility while preparing for future cloud expansion. This integrated approach positions you to adapt to evolving technology landscapes effectively.

Infrastructure as Code has progressed to facilitate the creation, deployment, and management of cloud infrastructure through the use of popular programming languages and tools. By offering a cohesive workflow across various cloud platforms, it enables users to apply the same language and tools regardless of the hosting environment. This promotes better collaboration between developers and operators, creating a more integrated engineering atmosphere. The process of continuous delivery is made straightforward, allowing for deployments directly from the command line or via integration with preferred CI/CD systems, while also enabling thorough reviews of changes before they go live. Enhanced visibility across environments simplifies the management of complexity, leading to more effective oversight. Security and audit trails are maintained by tracking modifications, including who made them, when they occurred, and the rationale behind each change, all while ensuring that deployment policies are enforced through the designated identity provider. Secrets management becomes more efficient with built-in encrypted configurations designed to safeguard sensitive information. You can define your infrastructure using a variety of well-known programming languages such as JavaScript, TypeScript, Python, Go, or any .NET language like C#, F#, and VB. This flexibility allows you to leverage your favorite development tools, IDEs, and testing frameworks to boost productivity. Additionally, the ability to codify and disseminate best practices and policies within your team promotes a culture of reuse and efficiency. Ultimately, this methodology not only enhances operational effectiveness but also empowers teams to perpetually innovate and adapt to new challenges. By embracing these practices, organizations can achieve a competitive advantage in a rapidly changing technological landscape.

The dominant movement in cloud computing promotes innovation, strengthens resilience, and offers considerable competitive advantages. A multi-cloud approach entails utilizing various cloud services from different providers, which can incorporate public options such as AWS, Azure, or Google, in addition to private clouds built on frameworks like VMware. More organizations are turning to multi-cloud strategies to improve business resilience, access superior features from various vendors, and mitigate the risks of vendor lock-in. Furthermore, services like Business Intelligence, AI, and Machine Learning are increasingly being delivered through software-as-a-service (SaaS) or platform-as-a-service (PaaS) models, indicating a significant change in how these technologies are consumed. By implementing a unified datastore across multiple clouds, companies can leverage innovations from a range of providers, reducing issues related to data gravity and avoiding the challenges of managing several potentially inconsistent data copies. This interconnected framework not only enhances operational efficiency but also accelerates technological progress across various sectors, ultimately fostering a more dynamic and adaptable business environment. As industries continue to evolve, the role of a multi-cloud approach in shaping future technological landscapes will become even more critical.

With a single command, you can quickly set up an Ubuntu virtual machine using Multipass, which facilitates the creation and management of VMs while allowing configurations through cloud-init, similar to those found in public cloud platforms. This utility enables you to test cloud launches on your local system at no expense, and within just five minutes, you will discover how simply a lightweight cloud environment can be established. To begin, you can initiate multiple LTS instances, monitor their statuses, run commands, implement cloud-init configurations, and delete older instances as desired. For anyone aiming to excel at the Linux command line, the "Ubuntu Server CLI cheat sheet" acts as a handy guide for various skills, from fundamental file management to complex deployments such as Kubernetes and OpenStack. Additionally, Multipass comes equipped with a command line interface that streamlines the process of launching, managing, and engaging with Linux instances. You will notice that obtaining a new image is remarkably quick, allowing you to set up a fully functional VM in just a few minutes. Moreover, you have the option to create Ubuntu instances and initialize them with cloud-init metadata, akin to setups on major cloud providers like AWS, Azure, Google, IBM, and Oracle, which enables you to effectively replicate a cloud deployment right from your own workstation. This functionality significantly simplifies the process of experimenting and acquiring knowledge about cloud computing, eliminating the necessity for extensive resources. By leveraging these capabilities, users can deepen their understanding of cloud infrastructure and enhance their skills in an accessible manner.

Enhanced capabilities for full-lifecycle cloud native development allow customers to build applications that are prepared for the future. By leveraging the extensive resources of the cloud now, organizations can design applications that meet the demands of tomorrow. Traditionally, strategies for adopting the cloud have focused primarily on migrating infrastructure and applications, often overlooking necessary updates in the foundational code. While the cloud has always offered benefits such as elasticity and scalability, its true potential is unlocked only when application code undergoes modernization. Adopting cloud native technologies and modern architectures facilitates the development of innovative applications that fully utilize the cloud’s capabilities, improving agility and accelerating innovation. By creating applications that can self-heal and automatically scale, organizations free themselves from traditional server limitations. Serverless architectures not only enhance efficiency and reduce costs but also shift the burden of infrastructure and software management to the platform, leading to a more efficient development process. This transformation enables companies to prioritize innovation over infrastructure, setting the stage for remarkable advancements in their offerings. Ultimately, embracing this shift in mindset can propel organizations into a new era of rapid technological progress.

The rate of change is swiftly increasing, as companies strive for agility and speed while also prioritizing security to stay ahead in the market. Managed infrastructure services allow these companies to focus on essential areas like customer interaction and reducing costs associated with handling basic applications, operating systems, and infrastructure. These services come with a specialized application-level service level agreement (SLA) designed to align with unique business needs. By opting for NTT Ltd. for all-encompassing managed cloud solutions, organizations can save valuable time by avoiding costly optimization initiatives. They can leverage NTT Ltd.'s robust investments in a strong cloud infrastructure, which is underpinned by top-tier systems that ensure security, flexibility, and outstanding performance. This strategy addresses the challenges of vendor lock-in, allowing clients to run various workloads on the most appropriate cloud platforms. Furthermore, businesses enjoy the freedom to modify their environments based on evolving requirements throughout the year, enabling quick responses to shifting market demands. Such an adaptable approach not only promotes innovation but also equips organizations to excel in a constantly evolving business landscape. Ultimately, this combination of speed, security, and service empowers companies to achieve sustainable growth and stay competitive.

The hosted platform serves as an optimal solution for development teams experiencing rapid growth, as it aids in simplifying the deployment, lifecycle management, and monitoring of applications, while effectively reducing costs tied to duplicating applications in development and testing environments. For example, services like PayPal's casino operations in Canada require advanced solutions capable of automating thousands of daily transactions efficiently. A dedicated finance team at PayPal manages the secure handling of deposits and withdrawals stored in cloud applications, greatly improving operational productivity. Additionally, the platform seamlessly integrates with both public and private cloud services to automate the provisioning and scaling of virtual infrastructure necessary for Docker-based application deployments. It also delivers in-depth performance analytics for clusters, hosts, and active containers, along with features for alert notifications and self-healing. This all-encompassing strategy not only enhances reliability but also allows teams to prioritize innovation over routine maintenance tasks. By leveraging such capabilities, organizations can ensure they remain competitive and responsive to evolving market demands.

Pipeshift is a versatile orchestration platform designed to simplify the development, deployment, and scaling of open-source AI components such as embeddings, vector databases, and various models across language, vision, and audio domains, whether in cloud-based infrastructures or on-premises setups. It offers extensive orchestration functionalities that guarantee seamless integration and management of AI workloads while being entirely cloud-agnostic, thus granting users significant flexibility in their deployment options. Tailored for enterprise-level security requirements, Pipeshift specifically addresses the needs of DevOps and MLOps teams aiming to create robust internal production pipelines rather than depending on experimental API services that may compromise privacy. Key features include an enterprise MLOps dashboard that allows for the supervision of diverse AI workloads, covering tasks like fine-tuning, distillation, and deployment; multi-cloud orchestration with capabilities for automatic scaling, load balancing, and scheduling of AI models; and proficient administration of Kubernetes clusters. Additionally, Pipeshift promotes team collaboration by equipping users with tools to monitor and tweak AI models in real-time, ensuring that adjustments can be made swiftly to adapt to changing requirements. This level of adaptability not only enhances operational efficiency but also fosters a more innovative environment for AI development.

The global landscape is perpetually shifting, with an increase in customer demands and user preferences occurring alongside the development of new regulatory standards. As technological progress continues and fresh challengers enter the arena, it becomes crucial to react quickly to these evolving obstacles. To stay ahead in the market, one must utilize specialized knowledge that enhances the capabilities of your ClearPath Forward® ecosystem. Collaborating with Unisys enables you to preserve the integrity of your dependable ClearPath Forward environment while also modernizing your applications to include state-of-the-art digital and cloud-native features, all while ensuring seamless operations. You will have access to a diverse range of deployment solutions, from integrated systems to public cloud options, along with services designed to alleviate concerns related to migration, staffing, and operations. For organizations that consider aspects such as security, resilience, availability, and scalability as paramount, Unisys stands out as the perfect ally. Furthermore, by enrolling in ClearPath Forward Connection, you will remain updated on the latest innovations in ClearPath Forward platforms and additional offerings, which will further guarantee your organization stays at the cutting edge of industry advancements. This partnership not only enhances operational efficiency but also fosters a culture of continuous improvement and adaptation to the evolving technological landscape.

Investing in the right technology at the ideal times and on appropriate platforms is crucial for driving innovation, boosting customer loyalty, and growing your business. By effectively utilizing cloud technology, you can achieve desired outcomes that may provide returns on investment up to three times greater, all while facilitating faster results at reduced costs, risks, and disruptions. DXC is dedicated to assisting you in making well-informed decisions about migrating applications to the cloud and determining the best times for these transitions. With DXC Cloud services, you can maximize your data's potential while ensuring a secure environment. Our proficiency in managing hybrid IT systems for some of the world's largest enterprises highlights our understanding of the essential role that cloud computing plays in critical IT functions. Each year, our cloud migration services help transition 65,000 workloads to the cloud, and we have effectively modernized countless mainframe systems while successfully migrating over 15,000 applications. Let us partner with you to define, implement, and manage your cloud strategy with precision. By collaborating with DXC, your cloud journey will not only be executed flawlessly but will also reach its utmost potential, allowing us to build a strong digital foundation that advances your business to new heights. In this rapidly evolving technological landscape, having a reliable partner like DXC can make all the difference in achieving sustained success.

Google Distributed Cloud provides a robust array of managed hardware and software solutions that enhance the capacity of Google Cloud in both edge environments and on-premises data centers. This offering, driven by Anthos, is ideal for local data processing, edge computing, and the modernization of existing infrastructure, simultaneously addressing critical issues related to data sovereignty, security, and privacy. By harnessing the power of Google’s cutting-edge AI, data analytics, and database technologies, users can uncover meaningful insights and break through conventional barriers tied to scale, performance, and expenses in data handling, irrespective of its physical location. Users can maintain authority and autonomy over their data and infrastructure, ensuring they meet stringent compliance requirements while utilizing cloud-native services customized for their unique situations. This adaptability empowers organizations to innovate swiftly while upholding the highest standards of data governance and security. Ultimately, this comprehensive approach not only meets the immediate needs of businesses but also positions them for future growth and technological advancements.