Compare the Top AI Infrastructure Platforms in the UK as of July 2026 - Page 5

  • 1
    MosaicML

    MosaicML

    MosaicML

    Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved.
  • 2
    Modular

    Modular

    Modular

    Modular is a unified AI inference platform designed to run models efficiently across diverse hardware environments. It enables developers to deploy and scale AI workloads on GPUs, CPUs, and ASICs using a single, integrated stack. The platform optimizes performance from low-level GPU kernels to high-level API endpoints. Modular supports both managed cloud deployments and self-hosted environments, offering flexibility for different use cases. It allows users to run open-source or custom models with high performance and cost efficiency. With features like hardware portability and dynamic scaling, it reduces vendor lock-in and infrastructure complexity. By combining performance optimization and deployment simplicity, Modular helps teams build and run AI applications at scale.
  • 3
    IBM watsonx
    IBM watsonx is a powerful suite of AI products designed to accelerate the adoption of generative AI across business workflows. With tools like watsonx.ai for AI application development, watsonx.data for data management, and watsonx.governance for regulatory compliance, businesses can create, manage, and deploy AI solutions seamlessly. The platform provides an integrated developer studio to foster collaboration and optimize the entire AI lifecycle. IBM watsonx also offers tools for automating processes, boosting productivity with AI assistants and agents, and supporting responsible AI through governance and risk management. Trusted by industries worldwide, IBM watsonx enables businesses to unlock the full potential of AI to drive innovation and enhance decision-making.
  • 4
    AWS Neuron

    AWS Neuron

    Amazon Web Services

    It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal code changes and without tie-in to vendor-specific solutions. AWS Neuron SDK, which supports Inferentia and Trainium accelerators, is natively integrated with PyTorch and TensorFlow. This integration ensures that you can continue using your existing workflows in these popular frameworks and get started with only a few lines of code changes. For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP).
  • 5
    AWS Trainium

    AWS Trainium

    Amazon Web Services

    AWS Trainium is the second-generation Machine Learning (ML) accelerator that AWS purpose built for deep learning training of 100B+ parameter models. Each Amazon Elastic Compute Cloud (EC2) Trn1 instance deploys up to 16 AWS Trainium accelerators to deliver a high-performance, low-cost solution for deep learning (DL) training in the cloud. Although the use of deep learning is accelerating, many development teams are limited by fixed budgets, which puts a cap on the scope and frequency of training needed to improve their models and applications. Trainium-based EC2 Trn1 instances solve this challenge by delivering faster time to train while offering up to 50% cost-to-train savings over comparable Amazon EC2 instances.
  • 6
    HPE InfoSight

    HPE InfoSight

    Hewlett Packard Enterprise

    You won’t spend any more days off searching for a root cause deep in your hybrid environment. Every second, HPE InfoSight collects and analyzes data from more than 100,000 systems worldwide, and uses that intelligence to make every system smarter and more self-sufficient. HPE InfoSight predicts and automatically resolves 86% of customer issues. Achieving always-on, always-fast apps requires greater visibility, intelligent performance recommendations, and more predictive autonomous operations from infrastructure. HPE InfoSight App Insights is your answer. Go beyond traditional performance monitoring to quickly locate, diagnose, and even predict problems across apps and workloads with the power of AI. HPE InfoSight leverages the power of AI to make autonomous infrastructure a reality.
  • 7
    SynapseAI

    SynapseAI

    Habana Labs

    Like our accelerator hardware, was purpose-designed to optimize deep learning performance, efficiency, and most importantly for developers, ease of use. With support for popular frameworks and models, the goal of SynapseAI is to facilitate ease and speed for developers, using the code and tools they use regularly and prefer. In essence, SynapseAI and its many tools and support are designed to meet deep learning developers where you are — enabling you to develop what and how you want. Habana-based deep learning processors, preserve software investments, and make it easy to build new models— for both training and deployment of the numerous and growing models defining deep learning, generative AI and large language models.
  • 8
    Katonic

    Katonic

    Katonic

    Build powerful enterprise-grade AI applications in minutes, without any coding on the Katonic generative AI platform. Boost the productivity of your employees and take your customer experience to the next level with the power of generative AI. Build AI-powered chatbots and digital assistants that can access and process information from documents or dynamic content refreshed automatically through pre-built connectors. Identify and extract essential information from unstructured text or surface insights in specialized domain areas without having to create any templates. Transform dense text into a personalized executive overview, capturing key points from financial reports, meeting transcriptions, and more. Build recommendation systems that can suggest products, services, or content to users based on their past behavior and preferences.
  • 9
    Vast.ai

    Vast.ai

    Vast.ai

    Vast.ai is the market leader in low-cost cloud GPU rental. Use one simple interface to save 5-6X on GPU compute. Use on-demand rentals for convenience and consistent pricing. Or save a further 50% or more with interruptible instances using spot auction based pricing. Vast has an array of providers that offer different levels of security: from hobbyists up to Tier-4 data centers. Vast.ai helps you find the best pricing for the level of security and reliability you need. Use our command line interface to search the entire marketplace for offers while utilizing scriptable filters and sort options. Launch instances quickly right from the CLI and easily automate your deployment. Save an additional 50% or more by using interruptible instances and auction pricing. The highest bidding instances run; other conflicting instances are stopped.
    Starting Price: $0.20 per hour
  • 10
    Fluidstack

    Fluidstack

    Fluidstack

    Fluidstack is an AI infrastructure platform designed to provide high-performance compute resources for advanced workloads. It offers dedicated GPU clusters that are fully isolated and optimized for large-scale AI training and inference. The platform includes Atlas OS, a bare-metal operating system built to enable fast provisioning and efficient orchestration of AI infrastructure. Fluidstack also provides Lighthouse, a monitoring and optimization tool that ensures reliability and performance across workloads. Its infrastructure is designed for speed, scalability, and secure operations, with single-tenant environments by default. The platform supports enterprises, AI labs, and governments that require high-performance computing capabilities. Fluidstack emphasizes rapid deployment, enabling teams to access GPU resources quickly when needed. Overall, it delivers a powerful and secure solution for running AI workloads at scale.
  • 11
    aiXplain

    aiXplain

    aiXplain

    We offer a unified set of world class tools and assets for seamless conversion of ideas into production-ready AI solutions. Build and deploy end-to-end custom Generative AI solutions on our unified platform, skipping the hassle of tool fragmentation and platform-switching. Launch your next AI solution through a single API endpoint. Creating, maintaining, and improving AI systems has never been this easy. Discover is aiXplain’s marketplace for models and datasets from various suppliers. Subscribe to models and datasets to use them with aiXplain no-code/low-code tools or through the SDK in your own code.
  • 12
    Novita AI

    Novita AI

    Novita AI

    Novita AI is an AI-native cloud platform that enables developers and organizations to build, deploy, and scale AI applications using a unified infrastructure stack. The platform combines serverless Model APIs, secure Agent Sandbox environments, and high-performance GPU Cloud services, allowing teams to access over 200 AI models, run autonomous agents, and deploy GPU-powered workloads from a single platform. With support for text, image, audio, video, and vision models, Novita AI eliminates the complexity of managing multiple providers and infrastructure layers. Its scalable architecture, low-latency performance, and flexible deployment options help builders move from experimentation to production quickly and efficiently.
  • 13
    Together AI

    Together AI

    Together AI

    Together AI provides an AI-native cloud platform built to accelerate training, fine-tuning, and inference on high-performance GPU clusters. Engineered for massive scale, the platform supports workloads that process trillions of tokens without performance drops. Together AI delivers industry-leading cost efficiency by optimizing hardware, scheduling, and inference techniques, lowering total cost of ownership for demanding AI workloads. With deep research expertise, the company brings cutting-edge models, hardware, and runtime innovations—like ATLAS runtime-learning accelerators—directly into production environments. Its full-stack ecosystem includes a model library, inference APIs, fine-tuning capabilities, pre-training support, and instant GPU clusters. Designed for AI-native teams, Together AI helps organizations build and deploy advanced applications faster and more affordably.
    Starting Price: $0.0001 per 1k tokens
  • 14
    Barbara

    Barbara

    Barbara

    Barbara is the Edge AI Platform for organizations looking to overcome the challenges of deploying AI, in mission-critical environments. With Barbara companies can deploy, train and maintain their models across thousands of devices in an easy fashion, with the autonomy, privacy and real- time that the cloud can´t match. Barbara technology stack is composed by: .- Industrial Connectors for legacy or next-generation equipment. .- Edge Orchestrator to deploy and control container-based and native edge apps across thousands of distributed locations .- MLOps to optimize, deploy, and monitor your trained model in minutes. .- Marketplace of certified Edge Apps, ready to be deployed. .- Remote Device Management for provisioning, configuration, and updates. More --> www. barbara.tech
  • 15
    Neysa Nebula
    Nebula allows you to deploy and scale your AI projects quickly, easily and cost-efficiently2 on highly robust, on-demand GPU infrastructure. Train and infer your models securely and easily on the Nebula cloud powered by the latest on-demand Nvidia GPUs and create and manage your containerized workloads through Nebula’s user-friendly orchestration layer. Access Nebula’s MLOps and low-code/no-code engines to build and deploy AI use cases for business teams and to deploy AI-powered applications swiftly and seamlessly with little to no coding. Choose between the Nebula containerized AI cloud, your on-prem environment, or any cloud of your choice. Build and scale AI-enabled business use-cases within a matter of weeks, not months, with the Nebula Unify platform.
    Starting Price: $0.12 per hour
  • 16
    Context Data

    Context Data

    Context Data

    Context Data is an enterprise data infrastructure built to accelerate the development of data pipelines for Generative AI applications. The platform automates the process of setting up internal data processing and transformation flows using an easy-to-use connectivity framework where developers and enterprises can quickly connect to all of their internal data sources, embedding models and vector database targets without having to set up expensive infrastructure or engineers. The platform also allows developers to schedule recurring data flows for refreshed and up-to-date data.
    Starting Price: $99 per month
  • 17
    Motific.ai

    Motific.ai

    Outshift by Cisco

    Accelerate your GenAI adoption journey. Configure GenAI assistants powered by your organization’s data with just a few clicks. Roll out GenAI assistants with guardrails for security, trust, compliance, and cost management. Discover how your teams are leveraging AI assistants with data-driven insights. Uncover opportunities to maximize value. Power your GenAI apps with top Large Language Models (LLMs). Seamlessly connect with top GenAI model providers such as Google, Amazon, Mistral, and Azure. Employ safe GenAI on your marcom site that answers press, analysts, and customer questions. Quickly create and deploy GenAI assistants on web portals that offer swift, precise, and policy-controlled responses to questions, using the information in your public content. Leverage safe GenAI to offer swift, correct answers to legal policy questions from your employees.
  • 18
    Runyour AI

    Runyour AI

    Runyour AI

    From renting machines for AI research to specialized templates and servers, Runyour AI provides the optimal environment for artificial intelligence research. Runyour AI is an AI cloud service that provides easy access to GPU resources and research environments for artificial intelligence research. You can rent various high-performance GPU machines and environments at a reasonable price. Additionally, you can register your own GPUs to generate revenue. Transparent billing policy where you pay for charging points used through minute-by-minute real-time monitoring. From casual hobbyists to seasoned researchers, we provide specialized GPUs for AI projects, catering to a range of needs. An AI project environment that is easy and convenient for even first-time users. By utilizing Runyour AI's GPU machines, you can kickstart your AI research with minimal setup. Designed for quick access to GPUs, it provides a seamless research environment for machine learning and AI development.
  • 19
    Lemma

    Lemma

    Thread AI

    Prototype and production event-driven, distributed workflows that span AI models, APIs, databases, ETL systems, and applications, all in one platform. Enable a faster time to value for your organization while cutting down operational overhead and infrastructure complexity. Focus on investing in proprietary logic and accelerating feature delivery without wasting time on platform and architecture decisions that slow development and execution. Revolutionize emergency response with real-time transcription, keyword and keyphrase identification, and integrated connectivity to external systems. Connect the physical and digital worlds and optimize maintenance operations by monitoring sensors, generating a triage plan for operator review upon an alert, and creating service tickets in your work order platform. Apply past experience in new ways to current problems by generating responses to incoming security assessments based on company-specific data across various platforms.
  • 20
    Burncloud

    Burncloud

    Burncloud

    Burncloud is a leading cloud computing service provider focused on delivering efficient, reliable, and secure GPU rental solutions for businesses. Our platform operates on a systemized model designed to meet the high-performance computing needs of various enterprises. Core Services Online GPU Rental Services: We offer a variety of GPU models for rent, including data center-grade devices and edge consumer-level computing equipment, to meet the diverse computational needs of businesses. Our best-selling products currently include: RTX 4070, RTX 3070 Ti, H100 PCIe, RTX 3090 Ti, RTX 3060, NVIDIA 4090, L40, RTX 3080 Ti, L40S, RTX 4090, RTX 3090, A10, H100 SXM, H100 NVL, A100 PCIe 80GB, and more. Compute Cluster Setup Services: Our technical team has extensive experience in IB networking technology and has successfully completed the setup of five 256-node clusters. For cluster setup services, please contact the customer service team on the Burncloud official website.
    Starting Price: $0.03/hour
  • 21
    Amazon EC2 Trn2 Instances
    Amazon EC2 Trn2 instances, powered by AWS Trainium2 chips, are purpose-built for high-performance deep learning training of generative AI models, including large language models and diffusion models. They offer up to 50% cost-to-train savings over comparable Amazon EC2 instances. Trn2 instances support up to 16 Trainium2 accelerators, providing up to 3 petaflops of FP16/BF16 compute power and 512 GB of high-bandwidth memory. To facilitate efficient data and model parallelism, Trn2 instances feature NeuronLink, a high-speed, nonblocking interconnect, and support up to 1600 Gbps of second-generation Elastic Fabric Adapter (EFAv2) network bandwidth. They are deployed in EC2 UltraClusters, enabling scaling up to 30,000 Trainium2 chips interconnected with a nonblocking petabit-scale network, delivering 6 exaflops of compute performance. The AWS Neuron SDK integrates natively with popular machine learning frameworks like PyTorch and TensorFlow.
  • 22
    Pipeshift

    Pipeshift

    Pipeshift

    Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management.
  • 23
    Krutrim Cloud
    Ola Krutrim is an AI-driven platform offering a comprehensive suite of services designed to advance artificial intelligence applications across various sectors. Their offerings include scalable cloud infrastructure, AI model deployment, and India's first domestically designed AI chips. The platform supports AI workloads with GPU acceleration, enabling efficient training and inference processes. Additionally, Ola Krutrim provides AI-enhanced mapping solutions, seamless language translation services, and AI-powered customer support chatbots. Our AI studio allows users to deploy cutting-edge AI models effortlessly, while the Language Hub offers translation, transliteration, and speech-to-text conversion capabilities. Ola Krutrim's mission is to empower India's 1.4 billion+ consumers, developers, entrepreneurs, and enterprises by putting the power of AI in their hands.
  • 24
    Crusoe

    Crusoe

    Crusoe

    Crusoe provides a cloud infrastructure specifically designed for AI workloads, featuring state-of-the-art GPU technology and enterprise-grade data centers. The platform offers AI-optimized computing, featuring high-density racks and direct liquid-to-chip cooling for superior performance. Crusoe’s system ensures reliable and scalable AI solutions with automated node swapping, advanced monitoring, and a customer success team that supports businesses in deploying production AI workloads. Additionally, Crusoe prioritizes sustainability by sourcing clean, renewable energy, providing cost-effective services at competitive rates.
  • 25
    NVIDIA AI Data Platform
    ​NVIDIA's AI Data Platform is a comprehensive solution designed to accelerate enterprise storage and optimize AI workloads, facilitating the development of agentic AI applications. It integrates NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and NVIDIA AI Enterprise software to enhance performance and accuracy in AI workflows. NVIDIA AI Data Platform optimizes workload distribution across GPUs and nodes, leveraging intelligent routing, load balancing, and advanced caching to enable scalable, complex AI processes. This infrastructure supports the deployment and scaling of AI agents across hybrid data centers, transforming raw data into actionable insights in real-time. ​With the platform, enterprises can process and extract insights from structured or unstructured data, unlocking valuable insights from all available data sources, text, PDF, images, and video.
  • 26
    Dell AI-Ready Data Platform
    Purpose-built to run AI anywhere on data everywhere. Our solution unlocks the value of your unstructured data, allowing you to access, prepare, train, fine-tune, and drive AI without any limitations. We’ve joined our industry-leading file and object storage portfolio, including PowerScale, ECS, and ObjectScale, with our PowerEdge server and open, modern data lakehouse approach. This gives you the power to bring AI to your unstructured data, on-premises, at the edge, and in any cloud with the highest performance and infinite scale. Access a full team of trained data scientists and industry experts who will help you implement AI use cases that deliver the most value for your business. Protect, detect, and respond to cyber attackers with hardened software and hardware security and real-time threat detection. Train and fine-tune your AI models using a single point of data access and the highest performance, on-premises, at the edge, and in any cloud.
  • 27
    SwarmOne

    SwarmOne

    SwarmOne

    SwarmOne is an autonomous infrastructure platform designed to streamline the entire AI lifecycle, from training to deployment, by automating and optimizing AI workloads across any environment. With just two lines of code and a one-click hardware installation, users can initiate instant AI training, evaluation, and deployment. It supports both code and no-code workflows, enabling seamless integration with any framework, IDE, or operating system, and is compatible with any GPU brand, quantity, or generation. SwarmOne's self-setting architecture autonomously manages resource allocation, workload orchestration, and infrastructure swarming, eliminating the need for Docker, MLOps, or DevOps. Its cognitive infrastructure layer and burst-to-cloud engine ensure optimal performance, whether on-premises or in the cloud. By automating tasks that typically hinder AI model development, SwarmOne allows data scientists to focus exclusively on scientific work, maximizing GPU utilization.
  • 28
    OpenServ

    OpenServ

    OpenServ

    OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future.
  • 29
    WhiteFiber

    WhiteFiber

    WhiteFiber

    WhiteFiber is a vertically integrated AI infrastructure platform offering high-performance GPU cloud and HPC colocation solutions tailored for AI/ML workloads. Its cloud platform is purpose-built for machine learning, large language models, and deep learning, featuring NVIDIA H200, B200, and GB200 GPUs, ultra-fast Ethernet and InfiniBand networking, and up to 3.2 Tb/s GPU fabric bandwidth. WhiteFiber's infrastructure supports seamless scaling from hundreds to tens of thousands of GPUs, with flexible deployment options including bare metal, containers, and virtualized environments. It ensures enterprise-grade support and SLAs, with proprietary cluster management, orchestration, and observability software. WhiteFiber's data centers provide AI and HPC-optimized colocation with high-density power, direct liquid cooling, and accelerated deployment timelines, along with cross-data center dark fiber connectivity for redundancy and scale.
  • 30
    Cake AI

    Cake AI

    Cake AI

    Cake AI is a comprehensive AI infrastructure platform that enables teams to build and deploy AI applications using hundreds of pre-integrated open source components, offering complete visibility and control. It provides a curated, end-to-end selection of fully managed, best-in-class commercial and open source AI tools, with pre-built integrations across the full breadth of components needed to move an AI application into production. Cake supports dynamic autoscaling, comprehensive security measures including role-based access control and encryption, advanced monitoring, and infrastructure flexibility across various environments, including Kubernetes clusters and cloud services such as AWS. Its data layer equips teams with tools for data ingestion, transformation, and analytics, leveraging tools like Airflow, DBT, Prefect, Metabase, and Superset. For AI operations, Cake integrates with model catalogs like Hugging Face and supports modular workflows using LangChain, LlamaIndex, and more.
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