Alternatives to hosted·ai

Servers.com by Nexcess delivers hybrid bare metal cloud hosting solutions that give businesses greater control over their infrastructure while maintaining the flexibility needed to grow. Its portfolio includes Scalable Bare Metal for on-demand capacity, Enterprise Bare Metal for customized deployments, AI Compute for GPU-powered workloads, and Managed Kubernetes for containerized applications. The platform is built to accommodate organizations that require reliable performance, security, and predictable infrastructure management. Through a network of data centers across multiple continents, customers can deploy services closer to their users and minimize latency. Businesses in industries such as gaming, financial services, advertising technology, streaming, SaaS, and Web3 rely on the platform to support high-demand operations. The infrastructure is designed to handle traffic spikes, intensive computing requirements, and geographically distributed workloads. Advanced networking capabilities and direct connectivity options help optimize application responsiveness and uptime. Organizations can combine different infrastructure offerings to create environments that align with their operational and budget requirements. By providing scalable and customizable bare metal solutions, Servers.com helps businesses maintain performance while adapting to changing market demands.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

All the information you need to deploy and maintain single-tenant, high performance bare metal servers. Latitude.sh is a great alternative to VMs. Latitude.sh has a lot more computing power than VMs. Latitude.sh gives you the speed and flexibility of a dedicated server, as well as the flexibility of the cloud. You can deploy your servers instantly through the Control Panel or use our powerful API to manage them. Latitude.sh offers a variety of hardware and connectivity options to meet your specific needs. Latitude.sh also offers automation. A robust, intuitive control panel that you can access in real-time to power your team, allows you to see and modify your infrastructure. Latitude.sh is what you need to run mission-critical services that require high uptime and low latency. We have our own private datacenter, so we are familiar with the best infrastructure.

Amazon Elastic Compute Cloud (Amazon EC2) is a cloud service that offers flexible and secure computing capabilities. Its primary aim is to simplify large-scale cloud computing for developers. With an easy-to-use web service interface, Amazon EC2 allows users to quickly obtain and configure computing resources with ease. Users gain full control over their computing power while utilizing Amazon’s established computing framework. The service offers an extensive range of compute options, networking capabilities (up to 400 Gbps), and tailored storage solutions that enhance price and performance specifically for machine learning initiatives. Developers can create, test, and deploy macOS workloads on demand. Furthermore, users can scale their capacity dynamically as requirements change, all while benefiting from AWS's pay-as-you-go pricing model. This infrastructure enables rapid access to the necessary resources for high-performance computing (HPC) applications, resulting in enhanced speed and cost efficiency. In essence, Amazon EC2 ensures a secure, dependable, and high-performance computing environment that caters to the diverse demands of modern businesses. Overall, it stands out as a versatile solution for various computing needs across different industries.

AWS Fargate serves as a serverless compute engine tailored for containerization, compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). By utilizing Fargate, developers can concentrate on crafting their applications without the hassle of server management. This service eliminates the necessity to provision and oversee servers, allowing users to define and pay for resources specific to their applications while enhancing security through built-in application isolation. Fargate intelligently allocates the appropriate amount of compute resources, removing the burden of selecting instances and managing cluster scalability. Users are billed solely for the resources their containers utilize, thus avoiding costs associated with over-provisioning or extra servers. Each task or pod runs in its own kernel, ensuring that they have dedicated isolated computing environments. This architecture not only fosters workload separation but also reinforces overall security, greatly benefiting application integrity. By leveraging Fargate, developers can achieve operational efficiency alongside robust security measures, leading to a more streamlined development process.

IONOS offers GPU Servers that deliver a high-performance computing framework aimed at managing tasks that demand significantly more power than standard CPU systems can provide. This infrastructure features top-tier NVIDIA GPUs, including the H100, H200, and L40s, in addition to specialized AI accelerators like Intel Gaudi, facilitating extensive parallel processing for demanding applications. By utilizing GPU-accelerated instances, the cloud infrastructure is enhanced with dedicated graphical processors, enabling virtual machines to execute intricate calculations and handle data-heavy tasks at a much faster rate compared to traditional servers. This solution is especially well-suited for fields such as artificial intelligence, deep learning, and data science, where training models on extensive datasets or executing rapid inference processes is necessary. Furthermore, it accommodates big data analytics, scientific simulations, and visualization tasks, including 3D rendering or modeling, that necessitate substantial computational capacity. As a result, organizations seeking to optimize their processing capabilities for complex workloads can greatly benefit from this advanced infrastructure.

Rafay helps enterprises, neoclouds, telcos, sovereign AI clouds, and service providers transform GPU and CPU infrastructure into secure, self-service platforms for AI innovation, consumption, and monetization. The Rafay Platform sits between accelerated infrastructure and the teams or customers consuming it, helping organizations move from raw compute to production-ready AI platforms faster. With Rafay, platform teams can orchestrate, govern, and automate infrastructure across data centers, cloud, hybrid, and air-gapped or sovereign environments. Teams can deliver self-service access to GPU resources, Kubernetes clusters, virtual machines, SLURM environments, AI workbenches, inference services, and application catalogs while maintaining control through policies, access controls, quotas, audit trails, and usage visibility. Rafay supports multiple teams, tenants, customers, and business units on shared infrastructure. Secure multi-tenancy, cost visibility, chargeback, and lifecycle automation help maximize GPU utilization while giving developers and data scientists fast access to the environments they need. For neoclouds, GPU cloud providers, telcos, and service providers, Rafay helps turn infrastructure investments into differentiated services. Providers can package compute and AI capabilities into consumable SKUs, deliver self-service GPU and AI platforms, and monetize usage through consumption-based models. Rafay unifies orchestration, governance, consumption, and monetization so organizations can accelerate AI adoption and turn infrastructure into a launchpad for innovation.

Effortlessly launch cloud servers, bare metal solutions, and storage options globally! Our high-performance computing instances are ideal for both your web applications and development environments. Once you hit the deploy button, Vultr’s cloud orchestration takes charge and activates your instance in the selected data center. You can create a new instance featuring your chosen operating system or a pre-installed application in mere seconds. Additionally, you can scale the capabilities of your cloud servers as needed. For mission-critical systems, automatic backups are crucial; you can set up scheduled backups with just a few clicks through the customer portal. With our user-friendly control panel and API, you can focus more on coding and less on managing your infrastructure, ensuring a smoother and more efficient workflow. Enjoy the freedom and flexibility that comes with seamless cloud deployment and management!

Thunder Compute delivers cheap cloud GPUs for companies, researchers, and developers running demanding AI and machine learning workloads. The platform gives users fast access to H100, A100, and RTX A6000 GPUs for LLM training, inference, fine-tuning, image generation, ComfyUI workflows, PyTorch jobs, CUDA applications, deep learning pipelines, model serving, and other GPU-intensive compute tasks. Thunder Compute is designed for teams that want affordable GPU cloud infrastructure with a strong developer experience, clear pricing, and minimal operational friction. Instead of dealing with the cost and complexity of legacy cloud vendors, users can deploy on-demand GPU instances with persistent storage, rapid provisioning, straightforward management, and scalable compute capacity. Thunder Compute is a strong fit for startups building AI products, engineering teams that need cloud GPUs for inference, and organizations looking for GPU hosting that is both economical and reliable. If you are searching for cheap H100s, A100 cloud instances, affordable GPUs for AI, or a RunPod alternative with transparent pricing and a simple interface, Thunder Compute provides a modern option for high-performance cloud GPU rental and AI infrastructure. Thunder Compute supports teams building and deploying modern AI applications that need dependable access to cheap cloud GPUs for both experimentation and production. From prototype training runs to large-scale inference and batch processing, the platform is designed to reduce infrastructure friction and accelerate iteration. For users comparing GPU cloud providers, Thunder Compute stands out with affordable pricing, fast access to top-tier GPUs, and a developer-friendly experience built around real AI workflows.

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.

Impossible Cloud is a cloud infrastructure platform built to support enterprise storage, artificial intelligence, and high-performance computing workloads through a unified set of cloud services. The platform combines S3-compatible object storage, dedicated bare metal GPU servers, and managed AI services that allow organizations to build, deploy, and scale modern applications. Its object storage service provides high availability, enterprise-grade durability, transparent pricing, and compatibility with existing S3-based workflows while eliminating egress fees and long-term lock-in. Dedicated bare metal GPU servers give customers exclusive access to physical hardware without virtualization layers, maximizing performance for machine learning, AI inference, and GPU-intensive applications. Managed AI services support large language model deployment, Kubernetes orchestration, and HPC environments while reducing infrastructure management complexity. Impossible Cloud is designed for organizations with strict security and compliance requirements by offering encryption, role-based access control, multi-factor authentication, and certifications including ISO 27001 and SOC 2. Customers can choose deployment regions in Europe or the United States while maintaining data governance aligned with regulatory requirements such as GDPR. A partner ecosystem, enterprise support, and broad integration capabilities make the platform suitable for managed service providers, enterprises, and technology partners. Impossible Cloud delivers scalable cloud infrastructure that combines enterprise storage, AI computing, and transparent pricing without sacrificing performance or data sovereignty.

Oracle Cloud Infrastructure (OCI) offers a range of compute options that are not only speedy and flexible but also cost-effective, catering to various workload requirements, including robust bare metal servers, virtual machines, and efficient containers. OCI Compute stands out by providing exceptionally adaptable VM and bare metal instances that ensure optimal price-performance ratios. Users can tailor the exact number of cores and memory to align with their applications' specific demands, which translates into high performance for enterprise-level tasks. Additionally, the platform simplifies the application development process through serverless computing, allowing users to leverage technologies such as Kubernetes and containerization. For those engaged in machine learning, scientific visualization, or other graphic-intensive tasks, OCI offers NVIDIA GPUs designed for performance. It also includes advanced capabilities like RDMA, high-performance storage options, and network traffic isolation to enhance overall efficiency. With a consistent track record of delivering superior price-performance compared to other cloud services, OCI's virtual machine shapes provide customizable combinations of cores and memory. This flexibility allows customers to further optimize their costs by selecting the precise number of cores needed for their workloads, ensuring they only pay for what they use. Ultimately, OCI empowers organizations to scale and innovate without compromising on performance or budget.

packet.ai is a cloud platform designed for GPU computing that enables developers and AI teams to swiftly access high-performance resources without the drawbacks associated with conventional cloud setups. It offers on-demand GPU instances featuring state-of-the-art NVIDIA technology that can be initiated within seconds and accessed via platforms like SSH, Jupyter, or VS Code, allowing users to efficiently begin training models, conducting inference, or testing AI applications. By adopting a novel strategy for GPU resource management, Packet.ai dynamically allocates resources in response to real-time workload requirements, which permits multiple compatible tasks to utilize the same hardware effectively while ensuring consistent performance. This innovative method leads to improved resource utilization and removes the necessity of paying for unused capacity, concentrating instead on the precise compute resources utilized. Additionally, Packet.ai includes an OpenAI-compatible API that supports language model inference, embeddings, fine-tuning, and more, thereby expanding the possibilities for AI development and experimentation. The platform's flexibility and efficiency make it a valuable tool for teams looking to optimize their AI workflows.

Fluidstack is a high-performance AI infrastructure platform built to deliver scalable and secure compute resources for demanding workloads. It provides dedicated GPU clusters that are fully isolated, ensuring consistent performance without shared resource interference. The platform includes Atlas OS, a bare-metal operating system designed for fast provisioning, orchestration, and full control of infrastructure. Fluidstack also offers Lighthouse, a system that monitors, optimizes, and automatically resolves performance issues in real time. Its infrastructure is engineered for speed and reliability, enabling rapid deployment of GPU resources. The platform supports large-scale AI training, inference, and other compute-intensive applications. Fluidstack is designed for enterprises, AI research labs, and government organizations that require advanced computing capabilities. It provides strong security features, including compliance with standards like GDPR, SOC 2, and ISO certifications. The platform offers human support with fast response times to ensure operational stability. Fluidstack enables teams to scale infrastructure efficiently as their needs grow. Overall, it provides a robust and flexible solution for AI-driven computing at scale.

NVIDIA's virtual GPU (vGPU) software delivers high-performance GPU capabilities essential for various tasks, including graphics-intensive virtual workstations and advanced data science applications, allowing IT teams to harness the advantages of virtualization alongside the robust performance provided by NVIDIA GPUs for contemporary workloads. This software is installed on a physical GPU within a cloud or enterprise data center server, effectively creating virtual GPUs that can be distributed across numerous virtual machines, permitting access from any device at any location. The performance achieved is remarkably similar to that of a bare metal setup, ensuring a seamless user experience. Additionally, it utilizes standard data center management tools, facilitating processes like live migration, and enables the provisioning of GPU resources through fractional or multi-GPU virtual machine instances. This flexibility is particularly beneficial for adapting to evolving business needs and supporting remote teams, thus enhancing overall productivity and operational efficiency.

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.

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.

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.

HorizonIQ serves as a versatile IT infrastructure provider, specializing in managed private cloud, bare metal servers, GPU clusters, and hybrid cloud solutions that prioritize performance, security, and cost-effectiveness. The managed private cloud offerings, based on Proxmox VE or VMware, create dedicated virtual environments specifically designed for AI tasks, general computing needs, and enterprise-grade applications. By integrating private infrastructure with over 280 public cloud providers, HorizonIQ's hybrid cloud solutions facilitate real-time scalability while optimizing costs. Their comprehensive packages combine computing power, networking, storage, and security, catering to diverse workloads ranging from web applications to high-performance computing scenarios. With an emphasis on single-tenant setups, HorizonIQ guarantees adherence to important compliance standards such as HIPAA, SOC 2, and PCI DSS, providing a 100% uptime SLA and proactive management via their Compass portal, which offers clients visibility and control over their IT resources. This commitment to reliability and customer satisfaction positions HorizonIQ as a leader in the IT infrastructure 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.

UpCloud is a cloud computing platform that provides high-performance infrastructure for businesses building and running modern applications. The platform offers a wide range of services including cloud servers, GPU servers, managed databases, Kubernetes orchestration, and multiple storage options. Organizations can deploy workloads across a global network of data centers, ensuring reliable access and scalable infrastructure for digital services. UpCloud emphasizes performance and reliability through its infrastructure design and strong service level agreements. The platform includes integrated networking features such as load balancing, VPN gateways, and software-defined networking for secure connectivity. Businesses can also manage large volumes of data through block storage, file storage, and object storage solutions. UpCloud’s transparent pricing model helps customers avoid unexpected cloud costs by eliminating outbound traffic fees. Security and compliance are prioritized through EU data protection regulations and ISO-certified infrastructure standards. The platform also provides 24/7 technical support from experienced engineers to assist customers with cloud operations. By combining performance-focused infrastructure with developer-friendly tools, UpCloud helps organizations deploy and scale applications efficiently.

Enhance the performance of your applications using specialized Lumen® Bare Metal servers located on edge nodes, which are engineered to achieve latency levels of 5ms or less. When dealing with high-bandwidth, real-time tasks, any form of delay can be detrimental. The Edge Bare Metal solution provides adaptable access to a wide-ranging network of robust bare metal servers, all optimized for low latency and focused on enhancing security, performance, and management capabilities. Users can select from various operating systems and deployment models to suit their needs. This combination of container solutions and bare metal servers allows for a pay-as-you-go model with the ability to easily turn services on or off. With container bin packaging, hardware utilization becomes more efficient, offering versatile configurations for servers and storage. You have the freedom to choose an operating system, server size, and pricing structure that aligns with the demanding requirements of your compute-intensive applications. Furthermore, safeguard your data with dedicated physical servers that provide secure, single-tenant environments, customizable firewall policies, and fully encrypted local storage, ensuring comprehensive security and control. This approach not only enhances performance but also allows businesses to scale their infrastructure dynamically as needed.

Hathora is an advanced platform for real-time compute orchestration, specifically crafted to facilitate high-performance and low-latency applications by consolidating CPUs and GPUs across various environments, including cloud, edge, and on-premises infrastructure. It offers universal orchestration capabilities, enabling teams to efficiently manage workloads not only within their own data centers but also across Hathora’s extensive global network, featuring smart load balancing, automatic spill-over, and an impressive built-in uptime guarantee of 99.9%. With edge-compute functionalities, the platform ensures that latency remains under 50 milliseconds globally by directing workloads to the nearest geographical region, while its container-native support allows seamless deployment of Docker-based applications, whether they involve GPU-accelerated inference, gaming servers, or batch computations, without the need for re-architecture. Furthermore, data-sovereignty features empower organizations to enforce regional deployment restrictions and fulfill compliance requirements. The platform is versatile, with applications ranging from real-time inference and global game-server management to build farms and elastic “metal” availability, all of which can be accessed through a unified API and comprehensive global observability dashboards. In addition to these capabilities, Hathora's architecture supports rapid scaling, thereby accommodating an increasing number of workloads as demand grows.

Massed Compute provides advanced GPU computing solutions designed specifically for AI, machine learning, scientific simulations, and data analytics needs. As an esteemed NVIDIA Preferred Partner, it offers a wide range of enterprise-grade NVIDIA GPUs, such as the A100, H100, L40, and A6000, to guarantee peak performance across diverse workloads. Clients have the option to select bare metal servers for enhanced control and performance or opt for on-demand compute instances, which provide flexibility and scalability according to their requirements. Additionally, Massed Compute features an Inventory API that facilitates the smooth integration of GPU resources into existing business workflows, simplifying the processes of provisioning, rebooting, and managing instances. The company's infrastructure is located in Tier III data centers, which ensures high availability, robust redundancy measures, and effective cooling systems. Furthermore, with SOC 2 Type II compliance, the platform upholds stringent standards for security and data protection, making it a reliable choice for organizations. In an era where computational power is crucial, Massed Compute stands out as a trusted partner for businesses aiming to harness the full potential of GPU technology.

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.

Sesterce is a leading provider of cloud-based GPU services for AI and machine learning, designed to power the most demanding applications across industries. From AI-driven drug discovery to fraud detection in finance, Sesterce’s platform offers both virtualized and dedicated GPU clusters, making it easy to scale AI projects. With dynamic storage, real-time data processing, and advanced pipeline acceleration, Sesterce is perfect for organizations looking to optimize ML workflows. Its pricing model and infrastructure support make it an ideal solution for businesses seeking performance at scale.

We have listened to customer feedback and have reduced the prices for both our bare metal and virtual server offerings while maintaining the same level of power and flexibility. A graphics processing unit (GPU) serves as an additional layer of computational ability that complements the central processing unit (CPU). By selecting IBM Cloud® for your GPU needs, you gain access to one of the most adaptable server selection frameworks in the market, effortless integration with your existing IBM Cloud infrastructure, APIs, and applications, along with a globally distributed network of data centers. When it comes to performance, IBM Cloud Bare Metal Servers equipped with GPUs outperform AWS servers on five distinct TensorFlow machine learning models. We provide both bare metal GPUs and virtual server GPUs, whereas Google Cloud exclusively offers virtual server instances. In a similar vein, Alibaba Cloud restricts its GPU offerings to virtual machines only, highlighting the unique advantages of our versatile options. Additionally, our bare metal GPUs are designed to deliver superior performance for demanding workloads, ensuring you have the necessary resources to drive innovation.

Mistral Compute is a specialized AI infrastructure platform that provides a comprehensive, private stack including GPUs, orchestration, APIs, products, and services, available in various configurations from bare-metal servers to fully managed PaaS solutions. Its mission is to broaden access to advanced AI technologies beyond just a few providers, enabling governments, businesses, and research organizations to design, control, and enhance their complete AI landscape while training and running diverse workloads on an extensive array of NVIDIA-powered GPUs, all backed by reference architectures crafted by experts in high-performance computing. This platform caters to specific regional and sectoral needs, such as defense technology, pharmaceutical research, and financial services, and incorporates four years of operational insights along with a commitment to sustainability through decarbonized energy sources, ensuring adherence to strict European data-sovereignty laws. Additionally, Mistral Compute’s design not only prioritizes performance but also fosters innovation by allowing users to scale and customize their AI applications as their requirements evolve.

Radiant is an advanced AI infrastructure platform that delivers a complete, vertically integrated solution for AI development and deployment. It unifies software, compute, energy, and capital into a single platform, enabling organizations to build and scale AI workloads efficiently. The platform offers a robust AI Cloud powered by NVIDIA GPUs, along with MLOps capabilities such as model training, inference, and lifecycle management. Its lightweight and scalable architecture supports high-performance computing environments with automated resource management and secure multi-tenancy. Radiant also leverages a global powered-land portfolio, providing access to large-scale energy resources for cost-efficient operations. With backing from Brookfield, it offers strong financial support for large infrastructure projects. The platform is designed to deliver consistent performance, scalability, and operational independence. Overall, Radiant enables enterprises and governments to deploy AI infrastructure with speed and efficiency.

IREN’s AI Cloud is a cutting-edge GPU cloud infrastructure that utilizes NVIDIA's reference architecture along with a high-speed, non-blocking InfiniBand network capable of 3.2 TB/s, specifically engineered for demanding AI training and inference tasks through its bare-metal GPU clusters. This platform accommodates a variety of NVIDIA GPU models, providing ample RAM, vCPUs, and NVMe storage to meet diverse computational needs. Fully managed and vertically integrated by IREN, the service ensures clients benefit from operational flexibility, robust reliability, and comprehensive 24/7 in-house support. Users gain access to performance metrics monitoring, enabling them to optimize their GPU expenditures while maintaining secure and isolated environments through private networking and tenant separation. The platform empowers users to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, alongside container technologies like Docker and Apptainer, all while granting root access without any limitations. Additionally, it is finely tuned to accommodate the scaling requirements of complex applications, including the fine-tuning of extensive language models, ensuring efficient resource utilization and exceptional performance for sophisticated AI projects.

NVIDIA Run:ai is a cutting-edge platform that streamlines AI workload orchestration and GPU resource management to accelerate AI development and deployment at scale. It dynamically pools GPU resources across hybrid clouds, private data centers, and public clouds to optimize compute efficiency and workload capacity. The solution offers unified AI infrastructure management with centralized control and policy-driven governance, enabling enterprises to maximize GPU utilization while reducing operational costs. Designed with an API-first architecture, Run:ai integrates seamlessly with popular AI frameworks and tools, providing flexible deployment options from on-premises to multi-cloud environments. Its open-source KAI Scheduler offers developers simple and flexible Kubernetes scheduling capabilities. Customers benefit from accelerated AI training and inference with reduced bottlenecks, leading to faster innovation cycles. Run:ai is trusted by organizations seeking to scale AI initiatives efficiently while maintaining full visibility and control. This platform empowers teams to transform resource management into a strategic advantage with zero manual effort.

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.

WhiteFiber operates as a comprehensive AI infrastructure platform that specializes in delivering high-performance GPU cloud services and HPC colocation solutions specifically designed for AI and machine learning applications. Their cloud services are meticulously engineered for tasks involving machine learning, expansive language models, and deep learning, equipped with advanced NVIDIA H200, B200, and GB200 GPUs alongside ultra-fast Ethernet and InfiniBand networking, achieving an impressive GPU fabric bandwidth of up to 3.2 Tb/s. Supporting a broad range of scaling capabilities from hundreds to tens of thousands of GPUs, WhiteFiber offers various deployment alternatives such as bare metal, containerized applications, and virtualized setups. The platform guarantees enterprise-level support and service level agreements (SLAs), incorporating unique cluster management, orchestration, and observability tools. Additionally, WhiteFiber’s data centers are strategically optimized for AI and HPC colocation, featuring high-density power, direct liquid cooling systems, and rapid deployment options, while also ensuring redundancy and scalability through cross-data center dark fiber connectivity. With a commitment to innovation and reliability, WhiteFiber stands out as a key player in the AI infrastructure ecosystem.

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.

GPU Mart focuses on delivering transparent, stable, and high-performance GPU hosting backed by real enterprise hardware. Unlike oversold virtualized GPU environments that often suffer from resource contention and inconsistent performance, GPU Mart provides dedicated and professionally managed GPU infrastructure designed specifically for AI workloads, rendering, machine learning, inference, and high-performance computing applications. Backed by Database Mart’s years of infrastructure and hosting experience, GPU Mart has continuously invested in GPU hardware, networking, and AI-ready infrastructure since 2020. Today, our platform supports 25,000+ deployed GPU servers and 3,500+ online AI GPUs with a 99.9% uptime SLA.

Database Mart presents an extensive range of server hosting services designed to meet various computing requirements. Their VPS hosting solutions allocate dedicated CPU, memory, and disk space with complete root or admin access, accommodating a multitude of applications like database management, email services, file sharing, SEO optimization tools, and script development. Each VPS package is equipped with SSD storage, automated backups, and a user-friendly control panel, making them perfect for individuals and small enterprises in search of budget-friendly options. For users with higher demands, Database Mart’s dedicated servers provide exclusive resources, guaranteeing enhanced performance and security. These dedicated servers can be tailored to support extensive software applications and high-traffic online stores, ensuring dependability for crucial operations. Furthermore, the company also offers GPU servers that are powered by high-performance NVIDIA GPUs, specifically designed to handle advanced AI tasks and high-performance computing needs, making them ideal for tech-savvy users and businesses alike. With such a diverse array of hosting solutions, Database Mart is committed to helping clients find the right fit for their unique requirements.

Verda is a next-generation AI cloud designed for teams building, training, and deploying advanced machine learning models. It delivers powerful GPU infrastructure with no quotas, approvals, or long sales processes. Users can choose from GPU instances, instant multi-node clusters, or fully managed serverless inference. Verda’s Blackwell-powered GPU clusters offer exceptional performance, massive VRAM, and high-speed InfiniBand™ interconnects. The platform is optimized for productivity, allowing developers to deploy, hibernate, and scale resources instantly. Verda supports both short-term experimentation and long-running production workloads. Built-in security, GDPR compliance, and ISO27001 certification ensure enterprise readiness. All datacenters are powered entirely by renewable energy. World-class engineering support is available directly through the platform. Verda delivers a developer-first AI cloud built for speed, flexibility, and reliability.

Amazon EC2 Capacity Blocks for Machine Learning allow users to secure accelerated computing instances within Amazon EC2 UltraClusters specifically for their machine learning tasks. This service encompasses a variety of instance types, including Amazon EC2 P5en, P5e, P5, and P4d, which utilize NVIDIA H200, H100, and A100 Tensor Core GPUs, along with Trn2 and Trn1 instances that leverage AWS Trainium. Users can reserve these instances for periods of up to six months, with cluster sizes ranging from a single instance to 64 instances, translating to a maximum of 512 GPUs or 1,024 Trainium chips, thus providing ample flexibility to accommodate diverse machine learning workloads. Additionally, reservations can be arranged as much as eight weeks ahead of time. By operating within Amazon EC2 UltraClusters, Capacity Blocks facilitate low-latency and high-throughput network connectivity, which is essential for efficient distributed training processes. This configuration guarantees reliable access to high-performance computing resources, empowering you to confidently plan your machine learning projects, conduct experiments, develop prototypes, and effectively handle anticipated increases in demand for machine learning applications. Furthermore, this strategic approach not only enhances productivity but also optimizes resource utilization for varying project scales.

Elastic computing instances equipped with GPU accelerators are ideal for various applications, including artificial intelligence, particularly deep learning and machine learning, high-performance computing, and advanced graphics processing. The Elastic GPU Service delivers a comprehensive system that integrates both software and hardware, enabling users to allocate resources with flexibility, scale their systems dynamically, enhance computational power, and reduce expenses related to AI initiatives. This service is applicable in numerous scenarios, including deep learning, video encoding and decoding, video processing, scientific computations, graphical visualization, and cloud gaming, showcasing its versatility. Furthermore, the Elastic GPU Service offers GPU-accelerated computing capabilities along with readily available, scalable GPU resources, which harness the unique strengths of GPUs in executing complex mathematical and geometric calculations, especially in floating-point and parallel processing. When compared to CPUs, GPUs can deliver an astounding increase in computing power, often being 100 times more efficient, making them an invaluable asset for demanding computational tasks. Overall, this service empowers businesses to optimize their AI workloads while ensuring that they can meet evolving performance requirements efficiently.

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.

Charg is a platform for managing the lifecycle of AI infrastructure, converting established enterprise-grade supercomputing systems into adaptable cloud environments for AI and high-performance computing. The public HPC cloud offered by Charg allows access to resources ranging from a single GPU to an extensive 60+ PFLOPS cluster, enabling teams to harness supercomputing capabilities without the need to own or maintain the physical hardware. It utilizes advanced CRAY supercomputers and the robust NVIDIA DGX architecture, which integrates clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and extensive all-flash CEPH storage, ensuring low-latency and high-throughput performance. Charg is specifically designed to handle intensive AI tasks, scientific research, and engineering computations, facilitating activities such as model training, large-scale inference, simulations, intricate data analysis, finite element analysis, and computational fluid dynamics. With an API-driven infrastructure, Charg not only scales seamlessly with existing workflows but also offers on-demand capacity, free from operational limitations, making it an ideal choice for diverse computational needs. This flexibility ensures that organizations can dynamically adjust their resources to meet changing demands without any hassle.

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.

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.

Cleura Cloud is an IaaS platform based in Europe, constructed on open standards and powered by OpenStack, which provides a secure, scalable, and programmable cloud infrastructure to assist teams in building, scaling, and managing digital services while maintaining complete control over their data and compliance standards. This platform facilitates the deployment of virtual machines with customizable compute profiles, manages container orchestration, offers block and object storage, and includes networking services, managed databases, and automation tools accessible through APIs, CLI, or a cloud management portal. Cleura prioritizes data sovereignty by operating exclusively within European data centers, thereby ensuring compliance with EU regulations and preventing unauthorized access under non-EU laws. It accommodates a variety of deployment models such as Public Cloud tailored for developers and small to medium businesses, Compliant Cloud designed for critical and regulated workloads with heightened security and availability zones, and Private Cloud for organizations requiring entirely isolated OpenStack environments. Additionally, Cleura Cloud's commitment to security and regulatory compliance makes it a compelling choice for businesses navigating the complexities of data management in today's digital landscape.

FPT Cloud represents an advanced cloud computing and AI solution designed to enhance innovation through a comprehensive and modular suite of more than 80 services, encompassing areas such as computing, storage, databases, networking, security, AI development, backup, disaster recovery, and data analytics, all adhering to global standards. Among its features are scalable virtual servers that provide auto-scaling capabilities and boast a 99.99% uptime guarantee; GPU-optimized infrastructure specifically designed for AI and machine learning tasks; the FPT AI Factory, which offers a complete AI lifecycle suite enhanced by NVIDIA supercomputing technology, including infrastructure, model pre-training, fine-tuning, and AI notebooks; high-performance object and block storage options that are S3-compatible and encrypted; a Kubernetes Engine that facilitates managed container orchestration with portability across different cloud environments; as well as managed database solutions that support both SQL and NoSQL systems. Additionally, it incorporates sophisticated security measures with next-generation firewalls and web application firewalls, alongside centralized monitoring and activity logging features, ensuring a holistic approach to cloud services. This multifaceted platform is designed to meet the diverse needs of modern enterprises, making it a key player in the evolving landscape of cloud technology.