GPU rental for AI - AI tools

NodeAI provides a decentralized platform connecting users who need GPU power for AI tasks with those willing to lend their computing resources.

• Usage Based
• From 101$

Clust.ai offers on-demand GPU cloud rental services, providing high-performance computing at minimal cost. It simplifies GPU access with a user-friendly interface and flexible security options.

• Usage Based

Vast.ai is a global GPU marketplace offering up to 6X cost savings on GPU compute through a unified interface, connecting users to providers ranging from hobbyists to Tier 4 data centers.

• Usage Based

Massed Compute provides cloud computing infrastructure, specializing in on-demand GPU and CPU power for AI, machine learning, VFX rendering, and high-performance computing tasks.

• Usage Based

WoolyAI offers a virtual GPU cloud service for scalable GPU memory and processing, featuring usage-based billing instead of time-based billing. It enhances GPU efficiency and reduces costs for AI/ML workloads.

• Usage Based

GPUYard provides customizable GPU dedicated servers powered by NVIDIA and AMD GPUs for AI training, video rendering, big data analytics, and other demanding workloads with global availability and flexible monthly contracts.

• Other

Levytation is a global marketplace connecting users with affordable, scalable AI/ML/data teams and on-demand compute resources. It also allows GPU owners to rent out their idle GPUs for income.

• Contact for Pricing

DataCrunch offers premium GPU servers, clusters, and model inference services on its AI cloud platform, powered by NVIDIA GPUs and utilizing 100% renewable energy.

• Usage Based

Thunder Compute is a cloud GPU platform that provides network-attached GPU virtualization, allowing developers to efficiently run AI and ML models without paying for idle resources.

• Usage Based

GPUSignals is an AI-powered platform that monitors live GPU availability across cloud providers like RunPod, Vast, and Lambda, predicting optimal booking times and sending instant notifications to secure compute resources efficiently.

• Other