Application Scenarios
Computational Physics
Computational Chemistry
CADD
Ocean and Atmospheric Sciences
Biological Research
Solution Highlights
Easy-to-use Platform
Intuitive HPC workflow enables full concentration on research.
Reliable Data Security
The solid security system and up-to-date compliance ensure the highest level of security and privacy of data.
Controllable Cost
Timely notification of resource usage and simulation tasks ensures comprehensive budget control.
Case Study
Cloudam Powers Intelligent Robot R&D in The Hong Kong Polytechnic University
The “AI and Robotics” group of the Department of Electronics and Information Engineering leverages the hybrid cloud-HPC model to accelerate scientific research and innovation, and facilitate the education of talents with:
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Efficiency Booster
Utilization rate of GPU resources increased by more than 30%, and the overall efficiency increased by 45% without any queuing.
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Seamless Integration of Local & Cloud Resources
The intelligent system automatically scales out to the cloud providing a seamless experience for researchers without queuing and latency.
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Easy Monitor & Management
The status of each user’s resource usage and training tasks are clearly checked to better control cost and prevent excessive occupation.