Best Cloud GPU Providers of 2026 - Page 8

Supercomputer is a cloud-based computational service that offers both GPU and CPU sessions designed for machine-learning tasks and other resource-heavy operations. It enables developers, researchers, and teams to initiate and oversee sessions through a command-line interface or Python SDK, allowing them to run their code on customizable GPU instances while maintaining their workspace files across sessions. This service facilitates various activities such as model training, fine-tuning, inference, experiments, evaluations, batch processing, hyperparameter optimization, and data-processing tasks. Users have the ability to upload their scripts and datasets, perform commands in persistent sessions, and either retrieve outcomes or save them in shared volumes. Notably, compute charges are incurred only when sessions are active, and any inactive sessions keep their workspace available for future use. The pricing operates on a system of prepaid credits, calculating charges by the second, with variations in rates depending on the chosen GPU configuration. Additionally, this flexibility ensures that users can optimize both their workflows and costs effectively.

Airgpu offers cloud-based computers powered by GPUs for tasks that require significant graphics processing, including gaming. Users can set up a cloud PC by selecting their desired hardware specifications and the location of the data center, connecting via services like Parsec or Moonlight. Unlike conventional game-streaming services with a predetermined game library, this platform allows users the freedom to install any games or applications they wish, such as those found on Steam and the Epic Games Launcher. It is commonly utilized for various purposes such as gaming, 3D rendering, video editing, virtual reality experiences, and other projects that require a powerful graphics card. Billing is based on usage, deducted from the user's account credit, while SSD storage incurs an additional fee. The availability of hardware options can differ based on the specific GPU and geographic location. Moreover, it's important to note that some multiplayer games may encounter compatibility issues if their anti-cheat mechanisms prevent cloud PCs from accessing them. Airgpu caters to gamers, creative professionals, and others who seek the benefits of GPU-enhanced computing remotely, all without the need to invest in a physical machine. This service opens up opportunities for those who need robust processing capabilities on the go.

PerLod specializes in offering a variety of cloud infrastructure solutions, including virtual private servers, dedicated servers, and GPU servers, tailored for developers, enterprises, and technical teams. Clients have the flexibility to select server specifications based on their needs for processing power, memory, storage capacity, bandwidth, and operating system, accommodating diverse tasks such as application hosting, development, testing, virtualization, data analytics, and artificial intelligence or machine learning projects. Their VPS offerings include both Linux and Windows options, while dedicated and GPU servers cater to those requiring enhanced computational power or specialized hardware. PerLod showcases server facilities across Europe, North America, and the Asia-Pacific region, facilitating online ordering and account management for ease of use. This service is designed for users who prefer to set up and oversee their own hosted server infrastructure instead of opting for generic business applications. Additionally, the pricing and available configurations for each plan differ based on the server type and geographic location, ensuring a range of choices for potential customers. Ultimately, PerLod aims to provide robust and customizable cloud solutions that meet the unique demands of its clients.

Effortlessly implement anti-affinity groups and deploy virtual servers across various data centers to maintain optimal availability. Configure firewall rules securely across numerous instances utilizing security groups. Oversee team members and regulate access to your infrastructure with organizations, key pairs, and multi-factor authentication. Our user-friendly and straightforward interfaces enable teams of any size to easily grasp powerful concepts. When managing crucial production workloads in the cloud, having a dependable partner is essential for success. Our customer success engineers have assisted countless clients throughout Europe in migrating, operating, and scaling production workloads as cloud-native applications. Relying on a trusted partner can significantly enhance your cloud experience and ensure seamless operations.

Foundry represents a revolutionary type of public cloud, driven by an orchestration platform that simplifies access to AI computing akin to the ease of flipping a switch. Dive into the impactful features of our GPU cloud services that are engineered for optimal performance and unwavering reliability. Whether you are overseeing training processes, catering to client needs, or adhering to research timelines, our platform addresses diverse demands. Leading companies have dedicated years to developing infrastructure teams that create advanced cluster management and workload orchestration solutions to minimize the complexities of hardware management. Foundry democratizes this technology, allowing all users to take advantage of computational power without requiring a large-scale team. In the present GPU landscape, resources are often allocated on a first-come, first-served basis, and pricing can be inconsistent across different vendors, creating challenges during peak demand periods. However, Foundry utilizes a sophisticated mechanism design that guarantees superior price performance compared to any competitor in the market. Ultimately, our goal is to ensure that every user can harness the full potential of AI computing without the usual constraints associated with traditional setups.

ToyStack Virtual OS transforms the concept of virtual desktops by offering a secure and scalable cloud-based operating system that can be accessed through any web browser. By utilizing an agentless architecture, it removes the need for conventional software installations, thereby reducing costs and facilitating smooth access to workspaces across the globe. Designed with robust enterprise-level security features, it incorporates multifactor authentication, encryption, AI-driven threat detection, and adheres to both ISO and SOC compliance standards. Additionally, ToyStack supports a variety of operating systems, including Windows, Linux, and custom OS options, all managed through a centralized Control Tower for effective real-time IT oversight. The integration of AI enhances resource optimization, ensuring a lag-free user experience, while automation helps in minimizing IT management costs. With its flexible pay-as-you-go pricing model, ToyStack presents an economical alternative to traditional Virtual Desktop Infrastructure (VDI), making it ideal for remote work scenarios, bring-your-own-device (BYOD) policies, and the needs of global scaling. Furthermore, its innovative approach positions ToyStack as a leader in the evolving landscape of virtual desktop solutions.

HynixCloud offers enterprise-grade cloud services, including high-performance GPU computing, dedicated bare-metal servers, and Tally On Cloud services. Our infrastructure is designed for AI/ML applications, rendering, business-critical apps, and rendering. It ensures scalability and security. HynixCloud's cutting-edge cloud technology empowers businesses through optimized performance and seamless access. HynixCloud is the future of computing.

Aqaba.ai is a cloud-based GPU platform that empowers AI developers by providing immediate access to exclusive, high-performance GPU resources without the long wait times or cost complexities seen in conventional cloud providers. Users can deploy dedicated NVIDIA H100, A100, and RTX GPUs instantly, avoiding shared resource contention and ensuring consistent, reliable performance. The platform uses straightforward hourly pricing with no hidden fees, enabling transparent and flexible budgeting for AI training projects. Aqaba.ai’s environment is designed to eliminate the typical barriers of cost, availability, and environmental concerns by leveraging efficient, dedicated hardware. Launching GPU instances takes seconds rather than hours, dramatically accelerating development workflows. The platform supports a wide range of AI workloads, from computer vision to advanced large language models. By guaranteeing exclusive GPU use, Aqaba.ai delivers the predictable performance needed for sensitive and demanding computations. This makes it a valuable tool for AI researchers and developers seeking scalable, efficient compute resources.

Atlas Cloud is an all-in-one AI inference platform designed to eliminate the complexity of managing multiple model providers. It enables developers to run text, image, video, audio, and multimodal AI workloads through a single, unified API. The platform offers access to more than 300 cutting-edge, production-ready models from industry-leading AI labs. Developers can instantly test, compare, and deploy models using the Atlas Playground without setup friction. Atlas Cloud delivers enterprise-grade performance with optimized infrastructure built for scale and reliability. Its pricing model helps reduce AI costs without sacrificing quality or throughput. Serverless inference, agent-based solutions, and GPU cloud services provide flexible deployment options. Built-in integrations and SDKs make implementation fast across multiple programming languages. Atlas Cloud maintains high uptime and consistent performance under heavy workloads. It empowers teams to move from experimentation to production with confidence.

GPUYard stands as a leading force in the global market, offering top-tier dedicated servers and colocation services specifically designed for AI researchers, gamers, 3D artists, and developers alike. We provide unmatched access to state-of-the-art NVIDIA GPUs, ranging from the 3000 series up to the cutting-edge 5000 series, guaranteeing that even the most resource-intensive tasks—such as large language model training and intricate simulations—are executed with maximum efficiency and power. Our infrastructure is equipped with a wide selection of high-performance CPUs from renowned manufacturers like Intel, AMD, and Ampere, enabling you to customize your system to perfectly align with your unique workload requirements. With an extensive presence across more than 250 locations worldwide, we effectively minimize latency by positioning our services closer to your end users. Our network boasts exceptional speeds, offering options from 1 Gbps to 100 Gbps, all backed by premier carriers like AT&T and Lumen, along with unmetered bandwidth choices for complete flexibility. Moreover, GPUYard ensures a robust support system with 24/7/365 expert assistance, complemented by an intuitive control panel and straightforward billing practices, thus providing a reliable foundation to propel your next major endeavor. This commitment to excellence not only enhances performance but also simplifies the user experience, allowing you to focus on your work without any technical distractions.

CambridgeNexus (CNEX), located in Boston, is an operator of AI Factory that provides exclusive leasing of bare-metal NVIDIA GB300 NVL72 racks, managing an inventory of over 350 racks housed in Tier III facilities across six US states and Taiwan, with installations typically completed within a timeframe of 75 to 90 days post-contract. Unlike traditional GPU marketplaces or virtualized cloud services, CNEX offers customers full racks that are bare metal, single tenant, and devoid of shared hardware or instances, underpinned by seven operational layers that encompass power, cooling, networking, compute, orchestration, compliance, and customer workload planning. Customers benefit from leasing complete systems, including NVIDIA GB300 NVL72 and NVIDIA Vera Rubin setups, with flexible lease agreements spanning from six months to over five years. The company guarantees a rapid turnaround from contract to installation, achieving a 99.95% uptime SLA, and adheres to stringent security and compliance standards, including SOC 2 Type I, GDPR, and HIPAA certifications, with ISO 27001 and FedRAMP statuses currently in progress. This unique approach not only ensures high reliability but also addresses the specific needs of businesses looking for dedicated AI computing resources.

TensorHost delivers GPU computing resources through its own infrastructure, avoiding reliance on third-party providers. Clients indicate their workload specifications, GPU needs, quantity, and preferred timing; service details and location are verified before a final agreement on allocation is reached. This service enables access to NVIDIA GPU capacity for AI applications and other highly demanding computational tasks. TensorHost maintains the foundational infrastructure, allowing clients to utilize the allocated compute for their specific applications and operations. It caters primarily to developers, AI teams, and businesses seeking GPU resources without the burden of buying and managing their own GPU servers. Users are charged based on their actual usage, with the capacity and pricing determined based on the requested resources. This model allows for flexibility and scalability in meeting the diverse computing demands of clients in a rapidly evolving technological landscape.

Pacific specializes in offering GPU computing rentals and modular AI infrastructure tailored for enterprises engaged in AI training, fine-tuning, and inference tasks. Their service catalog features on-demand dedicated NVIDIA GPU nodes, such as H100, H200, and B200 configurations, with the option for larger systems and reserved capacities upon request. The rentals include SSH access to bare-metal Linux hosts equipped with NVIDIA drivers and CUDA technology. For clients with longer-term or specific site requirements, Pacific provides reserved single-tenant clusters, managed on-premises installations, colocation solutions, and bridge capacity while permanent facilities are being established. Their factory-assembled modules integrate compute, networking, cooling, and power distribution, making them suitable for customer sites, colocation centers, or any other viable powered locations. The clientele comprises AI teams and infrastructure managers assessing their training or inference capabilities, along with organizations seeking enhanced control over their computing deployments. Additionally, Pacific's modular infrastructure can be quickly deployed, allowing for flexibility in scaling resources as AI projects evolve.

Compute Exchange serves as an online platform for organizations looking to acquire GPU infrastructure. It consolidates available cloud GPU resources, data center equipment, and future compute agreements into a single marketplace. Users can define their needs by selecting GPU specifications such as model, quantity, location, and duration, allowing them to assess vendor proposals and juxtapose pricing, availability, and service-level agreements from various suppliers. In terms of hardware, the platform connects buyers and sellers of both used and refurbished data center GPUs, facilitating direct negotiations among verified parties. For reserved capacity, it centralizes offers from cloud service providers, although Compute Exchange does not directly manage the compute resources. This innovative service is tailored for AI laboratories, startups, large enterprises, data centers, and other institutional clients in search of GPU resources or hardware suitable for artificial intelligence and machine-learning applications. Ultimately, Compute Exchange streamlines the process of sourcing essential GPU infrastructure for a wide range of users in the tech industry.

CapaCloud serves as a decentralized marketplace for renting GPUs, linking those in need of computational resources with GPU owners via a peer-to-peer neocloud framework. This platform facilitates on-demand GPU rentals, allowing transactions in USDT and Solana, while promoting an eco-friendly, carbon-neutral cloud solution suitable for AI tasks, rendering processes, and other high-performance applications. By bridging the gap between supply and demand in the GPU market, CapaCloud aims to revolutionize the way users access computing power.

Cloudalize's GPU-enhanced solutions provide unmatched agility, flexibility, and security for a variety of applications including IIoT and Machine Learning, as well as support for remote work. With a comprehensive suite of GPU-powered cloud services, Cloudalize enables businesses to realize their true potential. Their Desktop-as-a-Service (DaaS) offering allows users to effortlessly design and render projects using a wide array of professional software from leading vendors. This DaaS solution is quick to launch, making it an affordable and efficient option for organizations looking to enhance collaboration and enable remote work across any device. It boasts exceptional processing capabilities, ensuring operations run seamlessly and with minimal risk. Furthermore, Cloudalize’s GPU-powered DaaS is well-suited for both small to medium enterprises and larger organizations with extensive user bases, making it a versatile choice for any scale of operation. Ultimately, leveraging Cloudalize’s technology can significantly elevate a company's performance and productivity.