Compare Coreframe Cloud vs. supercomputer

Coreframe Cloud offers GPU-equipped Windows workstations tailored for fields such as architecture, interior design, 3D visualization, rendering, and engineering. Users can access these workstations by connecting from a Windows device through the Coreframe Connect application, enabling them to work on a desktop powered by a dedicated NVIDIA RTX GPU. Preinstalled software includes popular tools like Blender, D5 Render, Twinmotion, and Unreal Engine, while commercial applications require users to provide their own licenses, although setup assistance is available. The service provides on-demand access beginning at $1.49 per GPU-hour, with billing calculated by the minute from a prepaid wallet. Additionally, there are team plans that offer shared hours and storage options. For convenience, files stored on the project drive remain accessible across different sessions, whereas typical workstation sessions revert to a clean state; however, an optional persistent workstation can maintain its Windows disk for ongoing work. These workstations are hosted in a Tier III data center located in India, catering to professionals like architects, interior designers, 3D artists, visualization studios, and engineers who require robust GPU capabilities without the hassle of managing physical workstation hardware. This flexibility enables users to focus on creativity and productivity without the constraints of local machine limitations.

Supercomputer is a cloud-based computational service that offers both GPU and CPU sessions designed for machine-learning tasks and other resource-heavy operations. It enables developers, researchers, and teams to initiate and oversee sessions through a command-line interface or Python SDK, allowing them to run their code on customizable GPU instances while maintaining their workspace files across sessions. This service facilitates various activities such as model training, fine-tuning, inference, experiments, evaluations, batch processing, hyperparameter optimization, and data-processing tasks. Users have the ability to upload their scripts and datasets, perform commands in persistent sessions, and either retrieve outcomes or save them in shared volumes. Notably, compute charges are incurred only when sessions are active, and any inactive sessions keep their workspace available for future use. The pricing operates on a system of prepaid credits, calculating charges by the second, with variations in rates depending on the chosen GPU configuration. Additionally, this flexibility ensures that users can optimize both their workflows and costs effectively.