Best Cloud GPU Providers of 2026 - Page 7

Weyro.net stands out as a reliable provider of high-performance VPS hosting solutions. Utilizing cutting-edge technology such as the AMD Ryzen 9 9950X processor, DDR5 ECC RAM, and NVMe Gen 4 storage, our servers are designed to deliver exceptional speed and dependability for a variety of applications, including websites, apps, and gaming servers. We provide both Linux and Windows VPS options, featuring complete root access, rapid setup, and a swift network connection from our Tier 3 data center located in Frankfurt, Germany. Each plan also comes with robust DDoS protection, capable of withstanding attacks of up to 2.5 Tbps for uninterrupted service. What sets us apart is our competitive pricing, which begins at just $5.76 and goes up to $114, making top-tier hosting services readily available to a wide range of users. We prioritize user privacy by ensuring no verification is necessary, giving you peace of mind while you focus on your projects. Furthermore, our commitment to customer satisfaction means we are always here to assist you with any queries or issues you may encounter.

NVIDIA Confidential Computing safeguards data while it is actively being processed, ensuring the protection of AI models and workloads during execution by utilizing hardware-based trusted execution environments integrated within the NVIDIA Hopper and Blackwell architectures, as well as compatible platforms. This innovative solution allows businesses to implement AI training and inference seamlessly, whether on-site, in the cloud, or at edge locations, without requiring modifications to the model code, all while maintaining the confidentiality and integrity of both their data and models. Among its notable features are the zero-trust isolation that keeps workloads separate from the host operating system or hypervisor, device attestation that confirms only authorized NVIDIA hardware is executing the code, and comprehensive compatibility with shared or remote infrastructures, catering to ISVs, enterprises, and multi-tenant setups. By protecting sensitive AI models, inputs, weights, and inference processes, NVIDIA Confidential Computing facilitates the execution of high-performance AI applications without sacrificing security or efficiency. This capability empowers organizations to innovate confidently, knowing their proprietary information remains secure throughout the entire operational lifecycle.

AMD Developer Cloud grants immediate access to high-performance AMD Instinct MI300X GPUs for developers and open-source contributors through a convenient cloud-based interface, featuring a ready-to-use environment that includes Docker containers and Jupyter notebooks, eliminating the need for any local setup. Developers can execute various workloads such as AI, machine learning, and high-performance computing on configurations tailored to their needs, whether opting for a smaller setup with 1 GPU providing 192 GB of memory and 20 vCPUs or a larger setup that includes 8 GPUs with a staggering 1536 GB of GPU memory and 160 vCPUs. The platform operates on a pay-as-you-go model linked to a payment method and offers initial complimentary hours, like 25 hours for qualifying developers, to facilitate hardware prototyping. Importantly, users maintain complete ownership of their projects, allowing them to upload code, data, and software freely without relinquishing any rights. Furthermore, this seamless access empowers developers to innovate rapidly and explore new possibilities in their respective fields.

Shadeform serves as a comprehensive GPU cloud marketplace that streamlines the process of discovering, comparing, launching, and overseeing on-demand GPU instances from various cloud providers through a single platform, unified console, and API. This facilitates the development, training, and deployment of AI models without the hassle of managing multiple accounts or navigating different provider interfaces. Users can easily access real-time pricing and availability for GPUs across different clouds, launch instances either within their personal cloud accounts or through Shadeform's managed accounts, and efficiently oversee a multi-cloud fleet from one centralized location using standardized tools like curl, Python, or Terraform. By aggregating data on GPU capacity and pricing, teams can effectively optimize their compute expenditures, deploy containerized workloads with uniform interfaces, centralize billing and account management, and minimize vendor-specific complications via a unified API that accommodates various providers. Additionally, Shadeform enhances user experience with features like scheduling and automated resource provisioning, ensuring that users can secure necessary resources as they become available while maintaining flexibility in their operations.

MIG Servers delivers top-tier solutions for enterprises seeking expansive global connectivity and exceptional speed. With an extensive presence in over 250 data center locations, we ensure that your hardware is positioned closer to end-users, significantly minimizing latency and enhancing overall user experience. Reasons to Opt for MIG Servers: Superior Networking: Our infrastructure supports high-bandwidth with unmetered ports ranging from 1Gbps to 100Gbps, making it ideal for content delivery networks, streaming services, and extensive data synchronization tasks. Varied Hardware Options: We offer the latest Intel and AMD processors, alongside specialized GPU hosting tailored for artificial intelligence and rendering tasks, as well as configurations optimized for storage needs. Gaming Performance & Low Latency: Our dedicated servers are engineered for high-frequency performance, catering specifically to the requirements of stable and demanding multiplayer gaming environments. Robust Security Measures: We implement multi-layered DDoS protection and maintain Tier-certified resilience, ensuring that your critical applications remain online and operational at all times. Flexible Colocation Solutions: Our facilities provide redundant power systems, precise cooling capabilities, and round-the-clock security to support your own hardware needs effectively. With MIG Servers, you can trust that your business will achieve unmatched performance and reliability in a competitive digital landscape.

GTZHost provides robust bare metal servers that are powered by high-performance GPUs, making them perfect for applications such as gaming, 3D rendering, and artificial intelligence workloads. Located in Almere, Netherlands, our infrastructure is equipped with the Intel Xeon E3-1230 v5, complemented by dedicated RTX 2080Ti GPU capabilities, 16GB of DDR4 RAM, and rapid SSD storage. Our gaming servers are engineered for low-latency performance and come with 10Gbps DDoS protection along with customizable bandwidth options to suit various needs. Whether you're managing high-performance gaming servers or executing demanding computational projects, GTZHost guarantees the dedicated computing power and global connectivity essential for your success. Additionally, our commitment to reliable support ensures that clients have the assistance they need to maximize their server performance.

OpenGPU Network serves as a decentralized platform for GPU computing, linking individuals in need of robust processing power with a diverse array of independent GPU suppliers around the world. This innovative system facilitates various demanding tasks such as AI inference, machine learning training, and rendering by harnessing distributed resources rather than relying on traditional centralized cloud services. It functions as an intelligent routing mechanism that dynamically pairs workloads with the available GPU resources globally, enabling immediate task execution without the hassle of infrastructure management or limitations related to regions, queues, or provisioning delays. By consolidating resources from data centers, cloud providers, and personal machines, OpenGPU tackles the increasing disparity between the soaring demand for GPUs and the scattered, underused supply. The platform operates on a blockchain framework, which not only manages task coordination and result verification but also ensures that rewards are fairly distributed, fostering a trustless environment for users. In doing so, OpenGPU not only enhances accessibility to GPU computing but also promotes efficient utilization of computational resources on a global scale.

Axe Compute offers enterprise-level bare-metal GPU infrastructure tailored for AI and machine learning applications, featuring extensive global accessibility, dedicated clusters, and reliable access. Within around 48 hours, teams can receive dedicated GPU clusters at over 200 locations, allowing for complete flexibility in selecting region, GPU type, fabric, interconnect, and topology. This solution is specifically designed to tackle the often-overlooked challenges associated with scaling AI, including delays in provisioning, limited availability in the cloud, quota restrictions, inflexible provider economics, costs linked to data movement, and performance degradation due to virtualization. By providing 100% bare-metal access without any virtualization overhead or disruptive neighbors, Axe enables teams to effectively conduct LLM training, inference, diffusion, fine-tuning, enterprise deployment, and various other AI-related tasks with enhanced control. Additionally, its distributed GPU infrastructure ensures low-latency placement close to users and data, minimizing the necessity to transfer data to centralized cloud regions, thereby streamlining operations for teams working on complex AI projects.

Core42 provides sovereign AI and cloud solutions designed to empower individuals, organizations, and countries to harness the full capabilities of AI through a secure, scalable, and high-performance infrastructure. Their AI Cloud serves as a comprehensive platform that supports the entire intelligence lifecycle, encompassing everything from data movement and training to optimization, fine-tuning, deployment, governance, and production inference. By offering access to top-tier accelerators, integrated tools, orchestration, high-performance storage, and expert assistance, it enables AI developers to train, fine-tune, and deploy agentic and inference workloads more efficiently. The Core42 AI Cloud also facilitates GenAI services, model hosting and inference, AI operations, and infrastructure as a service, which empowers teams to confidently and swiftly build and scale next-generation AI applications. Additionally, Core42's GenAI services foster rapid innovation by providing agents, retrieval-augmented generation, guardrails, and fine-tuning capabilities, ensuring that users can stay ahead in the evolving AI landscape. This comprehensive approach not only enhances productivity but also drives significant advancements in AI technology.

AIC Cloud is an international cloud hosting service catering to developers, startups, and small enterprises throughout Asia, Africa, Europe, and North America. They offer Linux VPS plans starting at just $1.19 per month featuring NVMe SSD and complete root access, as well as dedicated bare-metal servers beginning at $22 per month, and NVIDIA cloud GPU instances (including RTX 3090, RTX 4090, and A100) charged by the minute with rates starting at $0.14 per hour. Additionally, users can benefit from business email services with custom domains and the convenience of one-click app deployment. What distinguishes AIC Cloud is its straightforward flat-rate monthly pricing, ensuring that the rate you initially choose remains the same every month; per-minute GPU billing without any hourly minimums; and accessible customer support through real humans via WhatsApp and email. The platform also features multiple data center locations across Asia Pacific, Europe, and North America, each equipped with anti-DDoS protection on all plans, while providing various payment options such as UPI, international cards, and net banking. Founded in 2024, AIC Cloud is a product of Applied Intelligence Corporation, a self-sustaining technology firm that prioritizes user needs in its offerings. Its commitment to customer satisfaction and innovative pricing structures make it a compelling choice for those seeking reliable cloud hosting solutions.

PrivateAlps offers anonymous and high-performance offshore hosting services in Switzerland, prioritizing privacy, security, and uncensored infrastructure. Their extensive portfolio encompasses Linux VPS, Windows RDP, web hosting, VPN hosting, dedicated servers, high-bandwidth servers, GPU servers, storage VPS, and pentesting workstations, providing users with a diverse selection of private hosting solutions for websites, applications, remote desktops, network utilities, and specialized tasks. The company is committed to no-logs hosting and operates under offshore jurisdiction, allowing for anonymous access, full disk encryption options, and robust data protection for those seeking greater control over their online frameworks. With features such as Tor and VPN support, PrivateAlps ensures a secure environment for its customers. Their VPS hosting services also include full root access, dedicated CPU and RAM, a dedicated IPv4 address, custom ISO installations, the ability to reinstall operating systems at any time, KVM virtualization, and DDoS protection, making it an ideal choice for users requiring a tailored and private server experience. This comprehensive offering ensures that clients can maintain both performance and privacy in their digital operations.

Targon offers a secure cloud computing environment designed for efficiently scaling AI workloads with high-speed GPUs and CPUs suitable for training and deployment purposes. With a user-friendly API, SDK, and CLI, it simplifies the management of various workloads, including rentals, serverless applications, persistent volumes, web endpoints, and inference of large language models. At its core, Targon leverages confidential computing principles without compromise, utilizing a decentralized network of trusted execution environments to enhance security. The Targon Virtual Machine maintains data confidentiality through hardware-backed protection powered by Intel TDX, while NVIDIA's Confidential Computing and PCIe Confidentiality technologies safeguard data even on untrusted hardware. Users can choose to deploy confidential compute environments, establish connections to GPU servers with configured SSH keys, or leverage serverless containers that intelligently auto-scale in response to user traffic demands. This flexibility allows organizations to tailor their computing resources to meet fluctuating needs while ensuring stringent security measures are upheld.

Sharon AI is an Australian sovereign AI infrastructure platform designed to deliver enterprise-level, high-performance cloud computing tailored for AI, high-performance computing (HPC), research, and sensitive workloads. It supports a variety of critical applications, such as climate modeling, financial analysis, medical research, defense initiatives, autonomous vehicles, cybersecurity, retail personalization, and natural language processing tools, empowering projects with the necessary resources, security, scalability, and data sovereignty to create significant impact. The platform's infrastructure is strategically located in Australia, with facilities in Sydney and Melbourne, including NEXTDC’s Tier IV data center in Melbourne, ensuring that organizations can maintain data protection in accordance with Australian regulations while enjoying lower latency for local operations, a security-first design, and compliance with regulatory standards. To cater to the evolving needs of modern AI development, Sharon AI offers an extensive portfolio of GPU solutions, featuring options like the NVIDIA H200, H100 NVL, L40S, A40, and AMD MI300X, suitable for large language models, generative AI, and deep learning applications. Additionally, this robust infrastructure not only optimizes performance but also enhances collaboration among researchers and enterprises, paving the way for innovative breakthroughs across various sectors.

BHK Cloud is a cloud infrastructure service located in Frankfurt, designed specifically for AI and data-heavy tasks. The platform offers access to on-demand RTX 3090 GPUs with 24 GB of VRAM, starting at a competitive rate of $0.15 per GPU hour. Additionally, it features S3-compatible object storage available from $2.50 per terabyte per month without any egress fees, along with managed hosting for AI agents. Users can easily provision resources via a REST API or command-line interface, launch environments tailored for popular frameworks like PyTorch, TensorFlow, and CUDA, and integrate storage volumes while utilizing existing S3 tools such as AWS CLI and boto3 through a compatible interface. Operated out of Frankfurt, BHK Cloud is ideal for teams requiring data residency within Europe, offering transparent usage-based pricing with no minimum contract obligations. The platform also accommodates a variety of tasks including model inference, image creation, fine-tuning with LoRA or QLoRA, video processing, and managing backups and archives, thereby catering to extensive model or data workflows. This versatility makes BHK Cloud a comprehensive solution for organizations looking to leverage advanced cloud capabilities for their AI and data needs.

Prime Intellect serves as a comprehensive superintelligence framework, offering a cohesive platform for computation, training, inference, and experimentation for groups aiming to develop, implement, and enhance their models over time. Instead of relying on advancements from frontier models, the stack emphasizes ownership of intelligence, providing users with a singular loop for reinforcement learning environments, extensive training, evaluations, inference, and computing needs. Within the Lab, teams can enable self-improving agents by transforming tasks into reinforcement learning settings and utilizing the Prime CLI for creation, development, evaluation, and deployment. The Environment Hub presents access to an extensive collection of over 2,500 open-source RL environments, while hosted evaluations allow teams to assess model performance across various open-source frameworks without the burden of managing infrastructure. Additionally, Hosted Training facilitates large-scale models tailored for agentic workflows, ensuring managed training processes with complete visibility and control, along with direct assistance from the dedicated applied research team, allowing for a more robust and user-friendly experience in model development. This integrated approach not only streamlines the development process but also fosters innovation and collaboration among teams.

Kinesis serves as a comprehensive compute platform that integrates disparate infrastructures spanning clouds, on-premises systems, edge locations, and partner data centers into a cohesive grid. Users can easily deploy applications by pushing a GitHub repository, supplying a Dockerfile or container image, linking a registry, selecting a template, or outlining application requirements, after which Kinesis evaluates the workload, identifies appropriate CPU or GPU resources, and facilitates a live deployment. With its intent-driven controls, Kinesis allows teams to optimize various parameters including cost, reliability, latency, and multi-cloud functionality, all while avoiding the complexities of configuring VPCs, IAM hierarchies, and security groups. Standard containers are capable of running seamlessly across different providers without requiring any rewrites or vendor lock-in, and essential features such as networking, autoscaling, monitoring, health checks, failover mechanisms, recovery options, certificates, secrets management, and rollback capabilities are integrated into every deployment. Additionally, Kinesis continuously assesses and makes intelligent decisions regarding placement, scaling, utilization, and failure management within a diverse compute environment, ensuring efficiency and resilience in operations. This means users can focus on their applications without the burden of underlying infrastructure concerns.

INTROSERV is an all-encompassing hosting infrastructure platform that delivers dedicated servers, virtual private servers, cloud storage, backup solutions, GPU systems, game servers, colocation services, and managed server support within a single ecosystem. The dedicated servers allow users to enjoy complete access to the physical hardware, choose their operating system, and customize their CPU, memory, and storage configurations, along with full control over software and network settings without resource sharing. On the other hand, VPS instances provide isolated environments with root access, enabling flexible scaling, rapid deployment, and user-friendly administration through control panels. Additionally, the cloud solutions introduced by INTROSERV enhance resilience and high availability while allowing for real-time scaling of resources and automated backup processes. This platform is designed to efficiently handle high-compute workloads, big data analytics, databases, ERP systems, media streaming, development environments, e-commerce platforms, SaaS applications, multiplayer gaming, and private AI infrastructures. Ultimately, INTROSERV aims to cater to a diverse range of hosting needs in a seamless manner.

OneSource Cloud specializes in the design, construction, and management of sovereign AI infrastructure tailored for organizations in regulated sectors that cannot utilize public cloud for sensitive operations, such as healthcare and life sciences, financial services, government and defense, energy, legal, and research sectors. Our services include the provision of dedicated GPU compute as a managed offering, encompassing cluster design, hardware acquisition, data center colocation, deployment, and ongoing maintenance. The clusters are equipped with NVIDIA GPUs connected via InfiniBand for efficient multi-node training and inference, complemented by high-performance storage solutions and dedicated private networking. Each client benefits from a unique, isolated environment that ensures their data and models do not share hardware with other users, safeguarding their confidentiality. Our managed services extend to capacity planning, provisioning, workload scheduling, system monitoring, patching, and customer support. Each environment is meticulously configured to meet the client’s compliance standards, including regulations such as NIST 800-171 and specific data residency requirements. Currently, we operate over 20,000 GPUs across more than 96 data centers, ensuring robust support for our clients' complex needs in an increasingly data-sensitive landscape. This extensive infrastructure positions us as a leader in providing secure AI solutions for organizations facing strict regulatory demands.

Dapple offers an Enterprise OS Cloud specifically designed for regulated enterprises and AI-driven organizations requiring robust AI infrastructure that maintains strict standards for isolation, data residency, governance, and performance. This innovative solution operates in a space between public cloud services and private data centers, merging dedicated, single-tenant GPU infrastructure with a unified control plane that oversees orchestration, compliance, connectivity, observability, and operational tasks. With features such as topology-aware placement, multi-GPU scheduling, fault-domain isolation, and reserved clusters, Dapple ensures consistent performance devoid of interference from other users. Additionally, private connectivity seamlessly integrates existing cloud environments with dedicated computing resources, while essential functions like identity management, container orchestration, threat protection, and governance policies remain effective throughout the deployment process. At an architectural level, compliance is meticulously enforced prior to workload execution, addressing in-country data residency requirements, audit obligations, and various regulatory frameworks, thereby fostering a secure environment for sensitive operations. Furthermore, Dapple empowers enterprises to innovate freely, all while adhering to strict compliance standards and safeguarding critical data assets.

Runcrate offers AI teams and their agents a unified account to access GPUs and inference capabilities seamlessly. Users can rent various GPU models, including H100, H200, A100, L40S, RTX 4090, and RTX PRO 6000, with over 20 options available, for hourly use, featuring SSH, Jupyter, and VS Code directly in their browsers. A launch can be initiated in approximately four minutes, and users are only charged for running time, with most GPUs billing by the second. In terms of inference, clients can access more than 200 open models, such as DeepSeek, Qwen, Llama, Kimi, FLUX, and Whisper, through a single OpenAI-compatible API, ensuring compatibility with existing clients. Pricing is structured based on usage metrics like tokens, images, or seconds, while storage volumes allow for the retention of datasets and checkpoints across different instances. Reserved clusters can support over eight GPUs or provide month-long service options. Designed specifically for agents, users can connect tools like Claude Code, Codex, or Cursor to the Runcrate MCP server using a single command and sign in via their browser without needing to input any keys. Once connected, agents can easily launch a GPU, execute commands, and shut it down when finished. Additionally, the platform provides a command-line interface, which can be installed with a simple command, along with SDKs available for both Python and TypeScript to enhance development flexibility.

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.