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What is GPUonCLOUD?
Previously, completing tasks like deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling could take days or even weeks. However, with GPUonCLOUD's specialized GPU servers, these tasks can now be finished in just a few hours. Users have the option to select from a variety of pre-configured systems or ready-to-use instances that come equipped with GPUs compatible with popular deep learning frameworks such as TensorFlow, PyTorch, MXNet, and TensorRT, as well as libraries like OpenCV for real-time computer vision, all of which enhance the AI/ML model-building process. Among the broad range of GPUs offered, some servers excel particularly in handling graphics-intensive applications and multiplayer gaming experiences. Moreover, the introduction of instant jumpstart frameworks significantly accelerates the AI/ML environment's speed and adaptability while ensuring comprehensive management of the entire lifecycle. This remarkable progression not only enhances workflow efficiency but also allows users to push the boundaries of innovation more rapidly than ever before. As a result, both beginners and seasoned professionals can harness the power of advanced technology to achieve their goals with remarkable ease.
What is Elastic GPU Service?
Elastic computing instances that come with GPU accelerators are perfectly suited for a wide range of applications, especially in the realms of artificial intelligence, deep learning, machine learning, high-performance computing, and advanced graphics processing. The Elastic GPU Service provides an all-encompassing platform that combines both hardware and software, allowing users to flexibly allocate resources, dynamically adjust their systems, boost computational capabilities, and cut costs associated with AI projects. Its applicability spans many use cases, such as deep learning, video encoding and decoding, video processing, scientific research, graphical visualization, and cloud gaming, highlighting its remarkable adaptability. Additionally, the service not only delivers GPU-accelerated computing power but also ensures that scalable GPU resources are readily accessible, leveraging the distinct advantages of GPUs in carrying out intricate mathematical and geometric calculations, particularly in floating-point operations and parallel processing. In comparison to traditional CPUs, GPUs can offer a spectacular surge in computational efficiency, often achieving up to 100 times greater performance, thus proving to be an essential tool for intensive computational demands. Overall, this service equips businesses with the capabilities to refine their AI operations while effectively addressing changing performance needs, ensuring they can keep pace with advancements in technology and market demands. This enhanced flexibility and power ultimately contribute to a more innovative and competitive landscape for organizations adopting these technologies.
API Availability
Has API
API Availability
Has API
Pricing Information
$1 per hour
Free Trial Offered?
Free Version
Pricing Information
$69.51 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
GPUonCLOUD
Company Location
India
Company Website
gpuoncloud.com/gpu-as-a-service/
Company Facts
Organization Name
Alibaba
Date Founded
1999
Company Location
China
Company Website
www.alibabacloud.com/product/heterogeneous_computing
