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Description
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.
Description
In the past, tasks such as deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling could take several days or even weeks to complete. Thanks to GPUonCLOUD’s specialized GPU servers, these processes can now be accomplished in just a few hours. You can choose from a range of pre-configured systems or ready-to-use instances equipped with GPUs that support popular deep learning frameworks like TensorFlow, PyTorch, MXNet, and TensorRT, along with libraries such as the real-time computer vision library OpenCV, all of which enhance your AI/ML model-building journey. Among the diverse selection of GPUs available, certain servers are particularly well-suited for graphics-intensive tasks and multiplayer accelerated gaming experiences. Furthermore, instant jumpstart frameworks significantly boost the speed and flexibility of the AI/ML environment while ensuring effective and efficient management of the entire lifecycle. This advancement not only streamlines workflows but also empowers users to innovate at an unprecedented pace.
API Access
Has API
No
API Access
Has API
No
Integrations
MXNet
No
PyTorch
No
TensorFlow
No
Pricing Details
$1.49/GPU-hour
On-demand workstation use starts at $1.49 per GPU-hour and is billed by the minute from a prepaid wallet. Monthly team plans start at $70.99 per month, with rates and included hours varying by tier. International prices are in US dollars and exclude GST.
Free Trial
No
Free Version
No
Pricing Details
$1 per hour
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Coreframe Compute Labs Private Limited
Founded
2026
Country
India
Website
www.coreframecloud.com
Vendor Details
Company Name
GPUonCLOUD
Country
India
Website
gpuoncloud.com/gpu-as-a-service/
