Rebellions and Red Hat launch Red Hat OpenShift artificial intelligence platform using Rebellions NPUs

Rebellions and Red Hat have introduced Red Hat OpenShift Artificial Intelligence powered by Rebellions neural processing units to create a validated full stack enterprise Artificial Intelligence platform. The collaboration aims to give customers more flexibility in how they run Artificial Intelligence workloads across diverse infrastructures.

Rebellions and Red Hat announced Red Hat OpenShift Artificial Intelligence powered by Rebellions neural processing units, combining Red Hat’s scalable, flexible and open source Artificial Intelligence inference capabilities with Rebellions’ energy efficient accelerators into a validated full stack enterprise Artificial Intelligence platform. The companies say this collaboration is designed to advance Red Hat’s goal to deliver ‘any model, any accelerator, any cloud’ to customers around the world by expanding choice in the architectures that support Artificial Intelligence workloads.

The announcement frames the partnership as a response to organizations shifting Artificial Intelligence initiatives from experimentation into concrete business use cases, where infrastructure costs, deployment complexity, and requirements for flexible environments with stronger security are becoming more pressing. According to the companies, traditional GPU centric environments on their own can be insufficient to satisfy performance and efficiency needs at scale, especially as inference workloads diversify and expand across different deployment models.

Red Hat OpenShift Artificial Intelligence powered by Rebellions neural processing units is positioned as a way for organizations to operate Artificial Intelligence workloads more efficiently across varied environments, leveraging dedicated neural processing hardware within Red Hat’s container based platform. By validating the stack from infrastructure through software, Red Hat and Rebellions aim to lower barriers to adoption for enterprises that want to integrate specialized accelerators into their Artificial Intelligence strategies while maintaining openness and portability.

52

Impact Score

Treasury outlines artificial intelligence resources for financial sector oversight

The U.S. Department of the Treasury has created a dedicated hub detailing how it uses artificial intelligence in the financial sector, aggregating policy documents, internal strategies, and alerts on emerging risks such as deepfake-enabled fraud. The page is positioned as a central repository for Treasury-developed reports, use cases, and guidance shaping the government’s approach to artificial intelligence in financial services.

Why tracking Artificial Intelligence assistant traffic is critical for small businesses

Small businesses are facing a shift as customers increasingly rely on Artificial Intelligence assistants for local recommendations and research, making visibility in these tools as important as traditional search. The article explains why tracking Artificial Intelligence assistant traffic as its own channel and investing in search optimization can significantly improve a company’s reach and accuracy.

Configuring language models in opencode

Opencode uses the Artificial Intelligence sdk and Models.dev to connect to more than 75 large language model providers, with support for both cloud and local models. Users can choose recommended models, set defaults, configure options, and define variants through a central config file.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.