Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.
Learn more
CoreWeave
CoreWeave is a cloud infrastructure provider specializing in GPU-based compute solutions tailored for AI workloads. The platform offers scalable, high-performance GPU clusters that optimize the training and inference of AI models, making it ideal for industries like machine learning, visual effects (VFX), and high-performance computing (HPC). CoreWeave provides flexible storage, networking, and managed services to support AI-driven businesses, with a focus on reliability, cost efficiency, and enterprise-grade security. The platform is used by AI labs, research organizations, and businesses to accelerate their AI innovations.
Learn more
Compute with Hivenet
Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe.
Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint.
Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside hivenet compute.
Learn more
Rafay
Founded in 2017, Rafay transforms compute infrastructure into AI platforms, self-service cloud environments, and revenue-generating services — for enterprises, neoclouds, and sovereign AI clouds. From the moment hardware is racked — GPUs, VMs, bare metal, or any compute type — Rafay makes it immediately productive. Enterprises get developer self-service, AI workload delivery, and governance at scale. Cloud providers and sovereign clouds get the complete platform to launch AI services and monetize compute investment, including Token Factory for token-metered AI delivery and SLURM-as-a-Service for elastic HPC. Rafay is the only NVIDIA-certified reference architecture for GPU infrastructure delivery. GigaOm Leader and Outperformer, Kubernetes and AI Infrastructure Management, 2025.
Learn more
