Amazon Web Services (EC2)
The virtual server service of a very large general-purpose cloud. It covers a wide catalogue of instance types, including accelerated options for machine learning.
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25 ways to get compute, from hyperscalers to decentralised networks and public programmes. We describe each in plain words and send you to the provider for current prices.
No provider pays to be listed or to be placed higher. We do not rank. Prices change by the hour and some providers do not allow them to be copied, so we link to the source instead. Where we can later show prices with permission or an open licence, we will say so on the sources page.
The virtual server service of a very large general-purpose cloud. It covers a wide catalogue of instance types, including accelerated options for machine learning.
Microsoft's cloud virtual machine service, with GPU-enabled and HPC-oriented machine types alongside general-purpose ones.
Google's virtual machine service. Besides GPUs, it is the place to reach Google's own Cloud TPU accelerators for machine learning.
Oracle's cloud compute service, including bare metal servers and GPU instances with both NVIDIA and AMD accelerators.
A cloud built around AI workloads, offering GPU and CPU compute, bare metal servers, storage and managed Kubernetes.
A GPU cloud with single on-demand instances, pre-configured multi-node clusters and larger dedicated deployments.
An AI-focused cloud offering NVIDIA and AMD GPUs with high-speed networking, managed Kubernetes and managed Slurm.
An AI cloud offering GPU compute with InfiniBand networking, plus managed inference and MLOps tooling.
A general cloud provider with virtual machines, Kubernetes, storage and a range of GPU instances, spread over many regions.
GPU virtual machines from a developer-oriented cloud, with NVIDIA and AMD options from single-GPU to eight-GPU configurations.
A platform for running open models through an inference API, with fine-tuning and dedicated GPU clusters for larger jobs.
A European cloud provider offering GPU instances for training, inference and graphics work.
GPU instances on the public cloud of a large European provider, covering AI inference and training as well as rendering.
An India-based cloud provider offering rentable NVIDIA GPUs, virtual machines, managed Kubernetes and AI model endpoints.
A marketplace where hosts, from individuals to data centres, list GPUs and renters choose among them.
A GPU platform offering pods, serverless GPU endpoints and multi-node clusters from a shared catalogue in many regions.
A single console and billing relationship for provisioning GPUs from many separate cloud providers.
An open compute marketplace where independent providers bid to run containerised workloads.
A network that pools GPU capacity from many sources and offers it as on-demand clusters for AI workloads.
A distributed GPU network aimed mainly at 3D rendering and generative imaging, where node operators contribute spare GPU capacity.
A distributed GPU cloud where providers contribute GPU servers, with one product for AI workloads and another for cloud gaming.
Publicly funded AI supercomputing capacity in the UK, offered to researchers and organisations through application routes.
A European network of AI-oriented supercomputing sites offering computing resources and support services.
A National Science Foundation-led pilot connecting US researchers and educators with computing, data and training resources.
A Canadian government strategy to expand domestic AI compute, including a fund to help businesses buy compute.