Automating the Edge with Robotics

Zededa, Applied Digital team up to launch new cloud service targeting AI workloads

Zededa, Applied Digital team up to launch new cloud service targeting AI workloads

Applied Digital, a provider of digital infrastructure and cloud services, will leverage Zededa’s software solution for management and orchestration. The companies say this collaboration will drive Applied Digital’s new on-demand Transmutable AI cloud service, catering to the growing need for AI computing resources and infrastructure.

According to Wes Cummins, the CEO of Applied Digital, customers’ needs are rapidly evolving along with the AI and HPC applications landscape. 

“As our customers leverage AI workloads and HPC applications in increasingly new and innovative ways, we must be able to provide the resources they need where and when they need them,” says Cummins.

AI and machine learning advancement has triggered a remarkable upsurge in customer expectations for flexible access to computational resources. These resources play a pivotal role in executing and scaling pivotal workloads within AI, machine learning and HPC domains.

Transmutable AI enables the execution of customer workloads across a shared digital infrastructure environment. This new service will enhance Applied Digital’s recently introduced AI cloud service by leveraging Applied Digital’s bare metal infrastructure. 

By incorporating Zededa’s management and orchestration service, this solution empowers enterprise customers to procure and utilize GPU resources on-demand and at scale across all of Applied Digital’s data centers. This encompasses both virtualized and bare-metal edge and cloud AI environments.

The service combines on-demand and long-term allocation, integrated with orchestration, storage and networking. GPU resources can be purchased by the hour, making it simple to scale. 

Said Ouissal, the founder and CEO of Zededa, is equally optimistic about the partnership. He firmly believes that the cloud computing paradigm should be extended everywhere.

“We have already witnessed this at the far edge of the network,” Ouissal explains. “Generative AI is now demanding new learning and inference infrastructure requirements, specifically in power efficient environments, validating that edge computing is truly ubiquitous and transformative.”

The companies say the service should be available in the second half of 2023.

In 2021, Zededa partnered with Agora to provide management solutions for edge deployments to customers in the renewable energy and oil and gas sectors. 

Article Topics

 |   |   |   |   |   | 

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Featured Edge Computing Company

Edge Ecosystem Videos

Automating the Edge

“Automating

Deploying AI Models at the Edge

“Deploying

Latest News