Core42 AI Cloud: From training to inference at global scale and peak performance
AI has entered a new phase. Generative models, multimodal systems, and AI agents are moving from experimentation into enterprise workflows and mission-critical environments. As organizations shift from pilot projects to production, infrastructure is becoming the key differentiator.
In this session, Raghu Chakravarthi, EVP of Engineering and GM of Core42 US, and Andrea Benito, Editorial Director MENA, explore how Core42 AI Cloud is designed for that shift. The discussion covers what it takes to support the full AI lifecycle, from large-scale distributed training to real-time inference, while balancing performance, cost efficiency, governance, and sovereignty.
Core42 AI Cloud brings together GPU as a Service, Inference as a Service, multi-accelerator flexibility, HPC-grade performance, and sovereign controls in one platform built for production AI.
Join us to see how Core42 AI Cloud helps organizations build, deploy, and scale the next wave of intelligence.
