Avalanche Computing develops hyper-scale computing technique for speed and high-scalability AI projects
Taipei based Avalanche Computing, a hyper-scale computing technique provider has launched a one-click-through AI framework that allows for speed and scalability.
Avalanche Computing’s AI framework aims to train AI model in parallel or distributed mode on multiple GPUs without changing the algorithm, reducing AI project costs. It is also capable of deploying AI models from one to many edge devices in one command, the company said.
As such, it focuses on the deep learning environment and training in parallel, lightening the trained model, and then deploying the AI model at a hyper-scale.
The company presents that the proposed AI framework will help increase the speed of manufacturing and medical applications, including predictive maintenance, anomaly detection, machine diagnosis, defect detection, supply chain analysis, operation optimization, EGG signal, breath sound, medical signal, medical speech to text, anomaly detection, lung cancer detection, amongst others.
“Our mission is to help our customers who focus on intelligence services and applications save time, staff numbers, and money during AI development. With our deep tech and computing domain knowledge, we aim to provide an excellent workflow for AI development and deployment in one platform at scale. Besides, our many alliance partners, academic collaborations, and computing hardware partners have further helped our AI customers succeed in global business,” said Avalanche Founder and CEO Jay Chen.
“With our AI experience with global enterprises, we can help customers achieve high-speed AI training, reduce waiting time, and quickly scale the inference system without building a new engineer team.”
Cloud computing makes corporations more flexible, adaptable and reduces costs by hosting data and applications in the cloud.
AI capabilities work in tandem with cloud computing environments to help organizations manage their data, find patterns and insights from information, improve customer experiences and optimize workflows.
According to Statista, the global AI market is estimated to reach $89 billion annually by 2025, and a significant percentage of which will occur as artificial intelligence powers cloud computing.