A Detailed Look at GPU Rentals from Vast.ai and Cudo Compute
Compare the top GPU rental providers to find the perfect match for your AI research needs. Dive into detailed specifications and reviews to make an informed decision.
Features
Delve into the features of GPU rental companies.
Explore their adaptibility, pricing models, integration, and customer support features and find the best fit for you.
Vast.ai
Cudo Compute
Vast.ai is tailored for researchers, data scientists, and AI developers seeking cost-effective and scalable cloud GPU rentals to enhance their compute-intensive projects.
Cudo Compute targets AI researchers, data scientists, and HPC users seeking scalable, high-performance GPU resources for intensive computational tasks.
- Vast.ai offers a flexible and dynamic pricing model through its marketplace. Individual GPU owners set their rates, resulting in a variety of price points. For example, costs can start as low as $0.12 per hour for GPUs like the A40, while high-end options such as the H100 PCIe are available at $3.69 per hour. Vast.ai also provides preemptible instances at lower prices, making it a cost-effective choice for users who can tolerate interruptions.
- Cudo Compute provides competitive pricing with a range of high-performance GPUs. Rates start from $0.29 per hour for the RTX A4000 and go up to $2.10 per hour for the NVIDIA H100. Cudo Compute also offers both on-demand and reserved cloud options, allowing users to scale their GPU usage based on their specific requirements. Their model supports diverse use cases, including AI inference, deep learning, and high-performance computing.
- Vast.ai excels in offering a wide array of pricing options through its marketplace, which can lead to significant cost savings, especially for non-critical workloads that can use preemptible instances. This flexibility is ideal for users seeking varied price points and the ability to find the most cost-effective solutions.
- Cudo Compute stands out with its competitive and structured pricing, offering a range of high-end GPUs suitable for intensive AI and machine learning tasks. Their on-demand and reserved options provide scalability and reliability for different project needs, making it a robust choice for users who need consistent performance without the variability of a marketplace.
Decentralized computing for AGI.
Decentralized computing unlocks AGI potential by leveraging underutilized GPU resources for scalable, cost-effective, and accessible research.
