Overview: Cloud computing startups in 2025 are pushing boundaries with AI integration, automation, and developer-centric services.Many are building tools to opt

Vera Rubin NVL72 graphics processing units in the U.S. and Europe from the second half of 2026. The Dutch AI infrastructure provider will deploy the Nvidia Rubin platform through Nebius AI Cloud and Nebius Token Factory,

STAMFORD, Conn.--(BUSINESS WIRE)--Generative AI is reshaping the cloud computing market and is expected to lead to more AI workload-specific cloud platforms in the future, a new research report from leading global technology research and advisory firm ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, enterprises must adopt a "design-first" architecture that treats intelligence as a core utility.

Software development is elevating. Professional programming practices are elevating to higher levels of abstraction with the introduction of low-code functions, automations and AI-driven tools that enable developers to focus more immediately on user ...

Nvidia’s new Rubin platform signals a shift toward cloud-scale AI infrastructure, designed to run massive training and inference workloads as managed systems rather than standalone chips. Nvidia has unveiled Rubin,

TEGUAR and SORBA.ai Announce Strategic Hardware Partnership to Accelerate On-Prem Industrial AI Deployment in Critical Environments JACKSONVILLE, FL, UNITED STATES, January 5, 2026 /EINPresswire.com/ — TEGUAR,

In recent years, the fusion of artificial intelligence (AI) with blockchain technology has sparked considerable interest across various sectors, promising groundbreaking innovations that could transform industries ranging from finance to healthcare.

Cloud computing has transformed the way businesses and individuals store, manage, and process data. At its core, cloud computing refers to the on-demand availability of computing resources—such as storage, processing power, and applications—over the ...

Cloud-based microlearning is defined as a strategy of dividing topics into short-form, stand-alone units. This approach delivers educational content in concise, bite-sized modules, each targeting a specific learning objective. Microlearning tackles the ...