Affordable GPU instances for machine learning - AI tools

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

Backprop offers a GPU cloud platform tailored for AI tasks like prototyping, training, and hosting, featuring powerful instances and pay-as-you-go pricing.

• Usage Based

vEdge offers affordable, shared GPU compute resources (vGPUs) designed for training and deploying machine learning models efficiently and cost-effectively.

• Other

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

TensorDock provides cost-effective GPU and CPU cloud infrastructure for deep learning, AI, rendering, and scientific computing. It offers a wide range of GPUs and CPUs at up to 80% lower cost than other cloud providers.

• 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

Foundry Cloud Platform offers on-demand access to NVIDIA GPUs for machine learning tasks, with flexible pricing and no long-term commitments.

• Usage Based

Dataoorts offers a specialized GPU cloud platform designed for AI developers. It provides fast, secure, and affordable instances optimized for AI, ML, and DL tasks.

• Usage Based

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

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$

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

E2E Networks provides high-performance GPU cloud infrastructure for AI and ML workloads, offering instant deployment, elastic scaling, and enterprise-grade security with transparent pricing.

• Usage Based

Lambda provides on-demand NVIDIA GPU instances and clusters for AI training and inference. It offers a range of services, including 1-Click Clusters, on-demand instances, and private clouds, designed for AI developers.

• 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

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

GreenNode provides comprehensive AI-ready infrastructure and applications built on NVIDIA GPU technology, offering customizable GPU instances with a focus on high performance and cost efficiency.

• Usage Based

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.

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