Our GPU-accelerated Notebooks, integrated with Jupyter IDE, offer a hassle-free platform for your AI endeavors. Designed exclusively for private cloud customers, this solution ensures secure and streamlined machine learning and rapid data science workflows
GPU-Powered Cloud Solution for AI Models
Built on the industry-standard Jupyter Lab Platform
Cloudalize’s GPU Cloud Notebooks enhance your data processing experience by combining the power of advanced GPUs with the familiar, user-friendly Jupyter Lab interface. This allows you to effortlessly scale resources, boost computational speed, and collaborate seamlessly, all within the well-known Jupyter environment.
One-click Jupyter Access
Instantly connect to on-demand NVIDIA GPU instances right from your browser. Streamline your projects with zero setup time and dive directly into a powerful computing environment, tailor-made for high-performance tasks.
High-Performance GPU Power
Delve into data-intensive tasks, intricate calculations, or intricate machine learning models with ease. Powered by NVIDIA GPUs, our Cloud Notebooks bring forth a fusion of computational strength and exceptional speed, ensuring peak performance every step of the way.
Pre-loaded with Popular Gradio Web UIs
Tap into the potential of AI-powered image generation using Automatic1111 or harness the capabilities of your favorite LMM with Oobabooga. Seamlessly dive into a world of expansive possibilities, all pre-configured and waiting for you, eliminating the usual setup complexities.
High-Speed, Cost-Effective Persistent Storage
Benefit from rapid data access and storage, ensuring that your workloads are not only compute-optimized but also IO-optimized for faster results. With our cutting-edge storage solutions, data retrieval becomes lightning fast, allowing you to focus on computations rather than wait times.
Transparent Pricing & Pay-Per-Minute Billing
Only pay for active GPU runtime, optimizing your expenses. Our Transparent Pricing assures clear, upfront costs, eliminating any hidden charges such as data egress or ingress fees.
