The AI boom is entering a new phase, with competition intensifying over who will provide the AI inference infrastructure developers need to build and deploy agentic systems at scale. One company positioning itself at the center of that buildout is Vultr, a trademark of The Constant Company LLC, which announced adoption of Nvidia Corp.’s Rubin ...

AI is becoming the operational foundation of the digital economy, but building AI factory infrastructure that works for the enterprise remains an unsolved challenge for most organizations. As AI factory infrastructure investment is predicted to approach $1 trillion over the coming decade, enterprises face a disconnect between acquiring accelerated computing hardware and actually putting it ...

Software development is entering a new phase as AI accelerates development and open-source dependencies grow more complex. The real challenge now isn’t just writing code faster — it’s building trusted software that is secure from the start. Companies such as Chainguard Inc., which provides verifiable open-source artifacts designed to reduce software supply chain risk, reflect ...

For Amazon Web Services Inc., this year’s Amazon S3 anniversary marks more than a milestone — it underscores S3’s rise from an internal utility to a pillar of cloud infrastructure and beyond. Commemorating the 20th Amazon S3 anniversary on March 14, the company is using Pi Day — the annual celebration of the mathematical constant ...

Artificial intelligence is driving an unprecedented surge in compute demand, but telecom operators face a structural barrier to capturing value from the shift: the proprietary technologies that control their own radio access networks. The industry’s push toward Open RAN is now intended to loosen that control and open the door to broader innovation. Telcos have historically ...

Telecommunication companies are entering a new phase as artificial intelligence pushes networks toward software-driven architectures — but telco transformation may struggle more with internal change than with the technology itself. With all the enthusiasm around AI, there is also a recognition that while much is changing, telecom’s fundamental purpose — reliable, ubiquitous connectivity —  remains ...

Telecom edge AI is pushing intelligence closer to where data is created, making networks central to how information and inference move. That shift is creating new opportunities for providers to pair networking with compute and operations to deliver low-latency AI services. Telecom has a chance to turn its network position into a bigger market advantage ...

Edge AI is becoming a defining telecom trend, as organizations favor lower-cost models that can act on data in real time. Meanwhile, private networks and local infrastructure are giving operators direct control over latency, data governance and service quality — a critical foundation for scaling AI-driven applications. But in the internet of things value chain, ...

Organizations adopting artificial intelligence soon discover the twin challenges of AI-scale data performance and global data orchestration. At that level, only a unified data platform can control capacity and policy across distributed environments. Lack of centralized control forces organizations to rely on reactive capacity planning and siloed monitoring tools — introducing risk and escalating operational ...

An AI-driven flash shortage is emerging as one of the defining infrastructure challenges of the machine learning boom. More than a problem solved by waiting out the typical hardware cycle, the shortage is forcing a larger rethink on how enterprises can get more from existing capacity. Unlike past supply crunches, this shortage is hitting even ...