Unlocking AI Innovation: GPU-As-A-Service With Red Hat
Red Hat, September 16,2025
Graphics processing units (GPUs) are key to both generative and predictive AI. Data scientists, machine learning engineers, and AI engineers rely on GPUs to experiment with AI models, and to train, tune, and deploy them.
Managing these essential resources can be complex, however, often stalling development and innovation.
Infrastructure limitations shouldn't hold your organization back. Your team needs to focus on building, refining, and using AI models, not managing complex GPU infrastructure. This is why information technology operations (ITOps) plays a crucial role in enabling rapid AI development and inference by providing on-demand GPU access, also known as GPU-as-a-Service.