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.

DBS Bank and AWS join forces to digitally transform 3,000 staff with AI training

DBS Bank has joined forces with Amazon Web Services (AWS) to train more than 3,000 staff members in artificial intelligence (AI) and machine learning (ML), in an effort to digitally transform its business.

The Singapore-based bank and cloud computing giant will run tutorials and a virtual racing league on the newly launched DBS x AWS DeepRacer League where staff can compete with their own coded autonomous race car.

DBS’ Chief Data and Transformation Officer, Paul Cobban, said: “We have never believed in limiting digital expertise to a small team.”

The bank’s newest digital initiative follows their continuous efforts to scale up their digital learning tools to digitally transform their operations and stay ahead of the technology curve.

“We wanted to adopt a different approach from our previous digital and data skills revolutions. In line with our ethos of keeping work and learning fun, we sought to introduce gamification elements to better engage our employees,” added Mr. Cobban.

This is not the first time that DBS has been involved in AWS’ DeepRacer Leagues, as their Executive Director of Technology, Ray Goh, beat out other F1 professionals to become a global champion at the F1 ProAm Event in May.

“I’m delighted to be able to do Singapore and DBS proud, and more importantly, to inspire my colleagues to join me in developing a deeper level of mastery in AI and ML,” celebrated Mr. Goh.

Four other DBS employees successfully placed in the global top 20 at the same F1 event, and another six have successfully qualified for the AWS DeepRacer Championship Cup, which will be held in Las Vegas at the end of the year.

The new corporate league by DBS and AWS is expected to be the largest run by an Asia-based organisation.

How will cloud gaming impact the future of game design?

As we discovered in W.Media’s first GameTech digital event, our speakers from Tencent Cloud and OVHcloud revealed the critical importance of IT infrastructure and edge data centers in enabling a cloud gaming future with almost zero latency and lag.

In our next GameTech digital event on Tuesday 27 October, we will focus on how cloud infrastructures and cloud gaming will transform the way games are designed.

Register now to explore how we can work together to create your next favourite game on the cloud!

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