… ARM, Rebellions & SK Telecom Collaboration Delivers Sovereign AI Infrastructure for Agentic AI & Telcom Needs Press Release: Rebellions, a global leader in AI inference infrastructure, announces a collaboration with SK Telecom SKT and Arm to develop AI inference infrastructure designed to support s… …
Meta has partnered with Amazon's AWS to bring tens of millions of Graviton CPU cores to its AI compute portfolio for Agentic AI. As the Agentic AI era rages on, companies are rapidly expanding their AI infrastructure to meet rising compute demands. …
… By strengthening supply chain capabilities, deepening customer relationships across cloud and enterprise segments, and maintaining a competitive edge over both traditional and emerging architectures, AMD is well-equipped to sustain momentum and capture greater market share in the rapidly evolving l… …
… NVIDIA also briefly touches upon physical and industrial AI as it shares that products from firms such as Cadence and Siemens are powered through its infrastructure and available on Google Cloud. …
… According to the company, SOCAMM2 will be integrated into modern-day AI infrastructure equipment and help address memory constraints. …
… Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes e.g., 2nm process , the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel. …
… Redefining the Memory Hierarchy to Drive AI Adoption with Over 50% Lower Deployment Costs Research firms project AI infrastructure to grow at a CAGR of approximately 26% through 2034, while more AI deployments are moving beyond cloud services and into a new phase of enterprise-built and edge deploy… …
… In the previous announcement, Nscale had already unveiled itself as one of the first global providers to deploy NVIDIA Vera Rubin chips, combining advanced architectures such as NVIDIA Grace Blackwell and NVIDIA Vera Rubin, and rolling them out to their customers by 2027. “Deploying agentic and phy… …
… It's sensible because all of these contexts have to be processed so that the AI, so that the models can generate the intelligence necessary to power the applications that ultimately sit on top. - NVIDIA's Jensen Huang Of course, there are concerns within the current infrastructure buildout, and it … …
… Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes e.g., 2nm process , the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel. …