Stocktwits on MSN

Why Is Rigetti Computing Stock Rising Today?

Rigetti Computing Inc. (RGTI) announced on Thursday that it has secured a $5.8 million contract from the U.S. Air Force ...

Yunding Tianxia Technology Obtains Cloud Computing Patent, **Distributed Multi-tasking** May Become a Future Trend

Shenzhen Yunding Tianxia Technology Co., Ltd. recently received good news that its patent titled "Cloud Computing System Based on Distributed Multi-task Requests" (Authorization Announcement Number ...
Virtualization Review

Tech Talk | Advancing the Cloud: How Distributed Computing Meets Modern User Demands

As the cloud computing landscape evolves, so do user expectations for more personalized and connected digital experiences. Basic personalization no longer suffices. Today, users demand customized ...

Baiwei Tong Technology Obtains AIGC Distributed Computing Scheduling Patent, Accelerating AI Model Deployment

Baiwei Tong Technology Co., Ltd. recently announced that its patent for the "AIGC-based Distributed Computing Scheduling Method and System" has been authorized by the National Intellectual Property ...

Rigetti Computing Stock Soars On $5.8 Million Air Force Contract

Rigetti Computing Inc (NASDAQ:RGTI) shares are gaining traction on Thursday after the company announced a major quantum ...
Zacks Investment Research on MSN

Can IBM's Focus on Quantum Computing be a Key Differentiator?

International Business Machines Corporation IBM continues to push the boundaries of quantum technology to explore solutions ...
Government Technology

National Research Platform to Democratize AI Computing for Higher Ed

By pooling GPUs and cloud resources across institutions, the NRP lets students and faculty run advanced AI workloads without ...
SDxCentral

Scale Computing updates virtualization for the edge

Scale Computing’s virtualization updates come after the firm was acquired by edge and network firm Acumera in July. Acumera ...
Forbes

Scaling AI Isn’t A Computing Problem—It's A Network Problem

AI models are rapidly increasing in complexity, demanding more powerful computing resources for effective training and inference. This trend has sparked significant interest in scaling computational ...