OneAI Digital Healthcare & Biotechnology Applications
One-stop solution
OneAI, One-stop Service With All-round AI Application & Digital Health
With the high-speed computing resources of AIHPC and the No-code AI tool platform OneAI, you can easily accelerate new breakthroughs in biomedical engineering using the NVIDIA Clara framework.
AI supercomputers drive the core of intelligent digital applications in healthcare.
Service Overview
OneAI offers a subscription-based No-code AI tool platform that, combined with the NVIDIA Clara computing framework, enables the rapid creation and easy management of digital healthcare AI solutions throughout their lifecycle. It meets the needs of users and teams for secure and rapid data processing, computing environment setup, AI biomedical model training, deployment, and management all at once.
Features
- Efficient layout:AI supercomputers provide high-performance, low-latency AIHPC high-speed computing resources to quickly deploy AI tasks.
- Easy to use:It features a low-code development interface, is easy to use, integrates built-in AI/ML model tools, provides a variety of open-source model templates, lowers the technical threshold for use, and makes it easy to build your own model.
- One-stop service:It covers the entire AI development process, supports a convenient environment for team collaboration, and can be flexibly configured and quickly deployed in the cloud to improve operational efficiency.
- Cybersecurity compliance:The AI supercomputer is located in Taiwan and complies with relevant ISO, HIPPA, and GDPR certifications, providing 24/7 professional customer service support.
- Price elasticity:Billing is flexible and available on demand, with charges only incurred during the computing period, and it meets the requirements for low-cost storage of massive amounts of data over a long period of time.
Benefits of use
- Applicable to a variety of biotechnology and medical fields:Medical image recognition and detection, drug development, secondary gene analysis, protein structure prediction, image and text classification, voice applications, etc.
- Improve the efficiency of AI development and application:It helps users and teams develop training and inference with zero code, seamlessly migrate existing AI solutions to the cloud, and accelerate the introduction of AI models for intelligent applications.
- Precise control of development costs:Resources are paid for on demand, reducing unnecessary expenditures and investment costs.
OneAI combined with the NVIDIA Clara computing framework
Accelerate the research and application of biomedical AI technology
Use NVIDIA® Parabricks® → Efficiency increased by 80 times, cost reduced by 50%
By leveraging the GPU computing framework, high-precision secondary gene analysis is accelerated, achieving an 80-fold performance improvement compared to traditional CPU solutions, while reducing computational costs by up to 50%.
Use NVIDIA Clara™ for Drug Discovery → Accelerating drug development and protein structure prediction
It leverages deep learning algorithms and GPU computing power to accelerate drug development and facilitates interdisciplinary workflows such as cheminformatics exploration, molecular dynamics simulation, protein structure prediction, structural drug development, and biomolecular structure exploration.
Using MONAI (Medical Open Network for AI) → Medical imaging training efficiency increased 6 times.
Through open-source deep learning frameworks, more than 20 pre-trained models can be used to train medical image recognition models or build inference services, effectively improving training processing efficiency by 6 times.
Use NVIDIA FLARE™ → Confidential data is not shared; patient information security is guaranteed.
Federated learning allows users from different organizations to collaboratively build a common machine learning model without sharing confidential data, thus training artificial intelligence models while ensuring patient data security.