Follow the latest coverage, related explainers and connected technology stories.
日本HP believes that the decision to run AI in the cloud or on-premises should begin with data sensitivity and the nature of the processing, not with a fixed technical preference. The company’s experience shows that the number of users, service continuity, operating costs, and how results are approved are no less important than the choice of model or device.
Researchers from the University of Manchester, in collaboration with the NVIDIA Earth-2 team, have developed a model for predicting air pollution across the United Kingdom at a resolution of between two and three kilometers. The model was trained over two days on the Isambard-AI supercomputer and can be run for inference and smaller training tasks on the desktop DGX Spark system.
Perplexity launched the Portable Computer platform to run its agents locally on users’ devices, starting with Nvidia DGX Spark and Linux computers equipped with RTX cards containing at least 24GB of memory. By default, the system keeps models, files, and work on the device, with the option to request user approval before escalating a specific step to a more powerful cloud model.