Best Cloud GPU Services in the UK

Amazon Elastic Compute Cloud (Amazon EC2) is a cloud service that offers flexible and secure computing power. It aims to simplify cloud computing at a large scale for developers. With its user-friendly web service interface, you can easily acquire and set up capacity with minimal hassle. EC2 gives you full control over your computing resources, allowing you to operate within Amazon's established computing framework. It offers an extensive selection of compute, networking (up to 400 Gbps), and storage options specifically designed to enhance price performance for machine learning initiatives. Additionally, you can create, test, and deploy macOS workloads on demand. You can access environments quickly, adjust capacity dynamically as required, and take advantage of AWS's pay-as-you-go pricing model. This on-demand infrastructure enables you to execute high-performance computing (HPC) applications in a faster and more cost-effective manner. Furthermore, Amazon EC2 ensures a secure, dependable, high-performance, and economical computing foundation that caters to challenging business requirements while adapting to changing demands.

Our Linux virtual machines simplify cloud infrastructure and provide a robust set of tools that make it easy to develop, deploy, scale, and scale modern applications faster and more efficiently. Linode believes virtual computing is essential to enable innovation in the cloud. It must be accessible, affordable, and easy. Our infrastructure-as-a-service platform is deployed across 11 global markets from our data centers around the world and is supported by our Next Generation Network, advanced APIs, comprehensive services, and vast library of educational resources. Linode products, services and people allow developers and businesses to create, deploy, scale, and scale applications in the cloud more efficiently and cost-effectively.

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.

Cyfuture Cloud is a top cloud service provider offering reliable, scalable, and secure cloud solutions. With a focus on innovation and customer satisfaction, Cyfuture Cloud provides a wide range of services, including public, private, and hybrid cloud solutions, cloud storage, GPU cloud server, and disaster recovery. One of the key offering of Cyfuture Cloud include GPU cloud server. These servers are perfect for intensive tasks like artificial intelligence, machine learning, and big data analytics. The platform offers various tools and services for building and deploying machine learning and other GPU-accelerated applications. Moreover, Cyfuture Cloud helps businesses process complex data sets faster and more accurately, keeping them ahead of the competition. With robust infrastructure, expert support, and flexible pricing--Cyfuture Cloud is the ideal choice for businesses looking to leverage cloud computing for growth and innovation.

Accelerate computational tasks such as those found in machine learning and high-performance computing (HPC) with a diverse array of GPUs suited for various performance levels and budget constraints. With adaptable pricing and customizable machines, you can fine-tune your setup to enhance your workload efficiency. Google Cloud offers high-performance GPUs ideal for machine learning, scientific analyses, and 3D rendering. The selection includes NVIDIA K80, P100, P4, T4, V100, and A100 GPUs, providing a spectrum of computing options tailored to meet different cost and performance requirements. You can effectively balance processor power, memory capacity, high-speed storage, and up to eight GPUs per instance to suit your specific workload needs. Enjoy the advantage of per-second billing, ensuring you only pay for the resources consumed during usage. Leverage GPU capabilities on Google Cloud Platform, where you benefit from cutting-edge storage, networking, and data analytics solutions. Compute Engine allows you to easily integrate GPUs into your virtual machine instances, offering an efficient way to enhance processing power. Explore the potential uses of GPUs and discover the various types of GPU hardware available to elevate your computational projects.

The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes. This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions. Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.

Discover the power of AI with Trooper.AI's GPU rental service available throughout the EU. We specialize in high-performance GPU servers crafted from repurposed gaming equipment, providing a sustainable and economical solution for machine learning, generative AI, and large language models (LLMs). Our customized offerings can deliver up to 328 TFLOPS of processing power, making them perfect for IT teams seeking scalable AI infrastructure to meet their demands. Enjoy the peace of mind that comes with guaranteed data security, compliance with EU regulations, and an exclusive allocation of hardware—meaning you won't have to share GPUs with others. Embrace the future of artificial intelligence with our adaptable and robust GPU rental options. Reach out to us today to find the perfect server configuration that suits your needs and kickstart your innovation journey without delay. Let Trooper.AI empower your AI projects with the technology they deserve.

Setting up your environment should be straightforward and hassle-free. We have taken genuine user feedback from our community into account to enhance the developer experience. Our billing structure is crafted from the ground up for cloud-native applications, ensuring you only pay for the resources you utilize, with no hidden costs. Maximize productivity with industry-leading launch times that enable quicker project initiation. Speed up your development cycles, foster innovation, and achieve results at a rapid pace. Experience lightning-fast, streamlined, managed Kubernetes solutions that allow you to host applications and adjust resources whenever required, featuring 90-second cluster launch times and a complimentary control plane. Benefit from enterprise-grade computing instances that leverage Kubernetes, complete with multi-region support, DDoS protection, bandwidth pooling, and a comprehensive suite of developer tools. Enjoy a fully managed, auto-scaling machine learning environment that doesn’t necessitate any Kubernetes or ML proficiency. Seamlessly configure and scale managed databases directly from your Civo dashboard or through our developer API, allowing you to adjust your resources as needed while only paying for what you consume. This approach not only simplifies your workflow but also empowers you to focus on what truly matters: innovation and growth.

​E2E Networks is a software organization located in India that was started in 2009 and provides software named E2E Cloud. Cost begins at $0.012 per hour. E2E Cloud includes training through documentation, webinars, in person sessions, and videos. E2E Cloud is offered as SaaS, Windows, and Linux software. E2E Cloud is a type of AI infrastructure software. E2E Cloud provides phone support support, 24/7 live support, and online support.

Infomaniak is a major European cloud player and the largest developer of web technologies in Switzerland. Infomaniak, a Swiss cloud player, is fully responsible for all aspects of its value chain. This includes the design and production of data centers and products as well as the orchestration and management of cloud infrastructures. This independence allows it to guarantee the security and confidentiality of the data of more then one million users from more than 208 countries. Infomaniak is located in Geneva and Winterthur at the heart of Europe and offers all the solutions companies need to increase their online visibility and sustain their development.

The NVIDIA DGX Cloud provides an AI infrastructure as a service that simplifies the deployment of large-scale AI models and accelerates innovation. By offering a comprehensive suite of tools for machine learning, deep learning, and HPC, this platform enables organizations to run their AI workloads efficiently on the cloud. With seamless integration into major cloud services, it offers the scalability, performance, and flexibility necessary for tackling complex AI challenges, all while eliminating the need for managing on-premise hardware.

The latest generation of NVIDIA GPU-based instances offered by Amazon EC2, known as G5 instances, are designed for a variety of graphics-heavy and machine-learning applications. These instances provide up to three times the performance for graphics-intensive tasks and machine learning inference, along with an impressive 3.3 times increase in training performance when compared to the previous G4dn instances. Ideal for applications that require high-quality graphics in real-time, G5 instances are suitable for remote workstations, video rendering, and gaming. Furthermore, they offer a powerful and cost-effective infrastructure for machine learning users, enabling the training and deployment of larger and more complex models in areas such as natural language processing, computer vision, and recommendation systems. Notably, G5 instances boast graphics performance that is three times higher and a 40% improvement in price performance over their G4dn counterparts. Additionally, they feature the highest number of ray tracing cores among all GPU-based EC2 instances, enhancing their capability to handle advanced graphic rendering tasks. This makes G5 instances a compelling choice for developers and businesses looking to leverage cutting-edge technology for their projects.

Amazon's EC2 P4d instances offer exceptional capabilities for machine learning training and high-performance computing tasks within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances achieve remarkable throughput and feature low-latency networking, supporting an impressive 400 Gbps instance networking speed. P4d instances present a cost-effective solution, providing up to 60% savings in the training of ML models, along with an average performance increase of 2.5 times for deep learning applications when compared to earlier P3 and P3dn models. They are utilized in expansive clusters known as Amazon EC2 UltraClusters, which seamlessly integrate high-performance computing, networking, and storage. This allows users the flexibility to scale from a handful to thousands of NVIDIA A100 GPUs, depending on their specific project requirements. A wide array of professionals, including researchers, data scientists, and developers, can leverage P4d instances for various machine learning applications such as natural language processing, object detection and classification, and recommendation systems, in addition to executing high-performance computing tasks like drug discovery and other complex analyses. The combination of performance and scalability makes P4d instances a powerful choice for tackling diverse computational challenges.

Founded in 2010, SQream is a company headquartered in the United States that creates software called SQream. SQream offers training via documentation, live online, webinars, and videos. SQream is a type of cloud GPU software. The SQream software product is SaaS and On-Premise software. SQream includes online support. Some competitors to SQream include NVIDIA GPU-Optimized AMI, RunPod, and GPU Mart.

Amazon EC2's P5 instances, which utilize NVIDIA H100 Tensor Core GPUs, along with the P5e and P5en instances that feature NVIDIA H200 Tensor Core GPUs, offer unparalleled performance for deep learning and high-performance computing tasks. They can significantly enhance your solution development speed by as much as four times when compared to prior GPU-based EC2 instances, while simultaneously lowering the costs associated with training machine learning models by up to 40%. This efficiency allows for quicker iterations on solutions, resulting in faster time-to-market. The P5, P5e, and P5en instances are particularly well-suited for training and deploying advanced large language models and diffusion models, which are essential for the most challenging generative AI applications. These applications encompass a wide range of functions, including question-answering, code generation, image and video synthesis, and speech recognition. Moreover, these instances are also capable of scaling to support demanding HPC applications, such as those used in pharmaceutical research and discovery, thus expanding their utility across various industries. In essence, Amazon EC2's P5 series not only enhances computational power but also drives innovation across multiple sectors.

Amazon EC2 Capacity Blocks for machine learning allow users to secure accelerated compute instances within Amazon EC2 UltraClusters specifically tailored for their ML tasks. This offering includes support for various instance types such as P5en, P5e, P5, and P4d, which utilize NVIDIA's H200, H100, and A100 Tensor Core GPUs, in addition to Trn2 and Trn1 instances powered by AWS Trainium. You have the option to reserve these instances for durations of up to six months, with cluster sizes that can range from a single instance to as many as 64 instances, accommodating a total of 512 GPUs or 1,024 Trainium chips to suit diverse machine learning requirements. Reservations can conveniently be made up to eight weeks ahead of time. By utilizing Amazon EC2 UltraClusters, Capacity Blocks provide a network that is both low-latency and high-throughput, which enhances the efficiency of distributed training processes. This arrangement guarantees reliable access to top-tier computing resources, enabling you to strategize your machine learning development effectively, conduct experiments, create prototypes, and also manage anticipated increases in demand for machine learning applications. Overall, this service is designed to streamline the machine learning workflow while ensuring scalability and performance.

Amazon EC2 UltraClusters allow for the expansion to thousands of GPUs or specialized machine learning accelerators like AWS Trainium, granting immediate access to supercomputing-level performance. They make advanced computing accessible to developers in machine learning, generative AI, and high-performance computing through an easy pay-as-you-go system, eliminating the need for setup or maintenance expenses. UltraClusters are comprised of thousands of accelerated EC2 instances that are strategically placed within a specific AWS Availability Zone and are connected via Elastic Fabric Adapter (EFA) networking within a petabit-scale nonblocking network. This innovative setup delivers superior networking capabilities and access to Amazon FSx for Lustre, a fully managed shared storage solution built on a high-performance parallel file system, which facilitates the swift processing of large datasets with latencies measured in sub-milliseconds. Furthermore, EC2 UltraClusters enhance scale-out opportunities for distributed machine learning training and tightly integrated high-performance computing tasks, significantly minimizing training durations. Overall, this state-of-the-art infrastructure is designed to meet the demands of the most intensive computational projects.

The Elastic Fabric Adapter (EFA) serves as a specialized network interface for Amazon EC2 instances, designed to support applications that necessitate significant inter-node communication when deployed at scale on AWS. Its unique operating system (OS) effectively circumvents traditional hardware interfaces, significantly improving the efficiency of communications between instances, which is essential for the scalability of these applications. EFA allows High-Performance Computing (HPC) applications utilizing the Message Passing Interface (MPI) and Machine Learning (ML) applications leveraging the NVIDIA Collective Communications Library (NCCL) to seamlessly expand to thousands of CPUs or GPUs. Consequently, users can experience the performance levels of traditional on-premises HPC clusters while benefiting from the flexible and on-demand nature of the AWS cloud environment. This feature is available as an optional enhancement for EC2 networking, and can be activated on any compatible EC2 instance without incurring extra charges. Additionally, EFA integrates effortlessly with most widely-used interfaces, APIs, and libraries for facilitating inter-node communications, making it a versatile choice for developers. The ability to scale applications while maintaining high performance is crucial in today’s data-driven landscape.