… Research firms project AI infrastructure to grow at a CAGR of approximately 26% through 2034, while more AI deployment are moving beyond cloud services and into a new phase of enterprise-built and edge deployment. …
… IT teams, developers, and research groups can efficiently run inference models, generative AI applications, and RAG pipelines with full control over performance and resource allocation. …
… AI Agents on a Mini PC Coming in at nearly 1L, the GIGABYTE AI TOP ATOM is ideal for developers, researchers, and data scientists, offering full access to the NVIDIA AI software stack and ecosystem. …
… NVIDIA OpenShell on Canonical Ubuntu and Red Hat AI in the Dell AI Factory with NVIDIA and NVIDIA AI-Q 2.0 for Dell AI Factory with NVIDIA, are available now. Dell-NVIDIA AI-Q 2.0 Reference Architecture, powered by Dell AI Data Platform, is available now. …
… Every technical detail: driver-level texture and geometry interception, shader introspection of DXIL bytecode, INT8 inference on dedicated AI cores, mesh topology classification, adaptive online learning—these are real techniques from graphics research and driver engineering. …