Core42 AI Cloud: The Backbone of the Next Wave of Intelligence 

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.

You will learn how Core42 AI Cloud enables:

• Accelerator choice at global scale with support for NVIDIA, AMD, Cerebras, and Qualcomm, plus on-demand and reserved capacity
• Proven frontier-scale performance backed by Top500 and IO500 recognitions
• Secure and sovereign deployment for regulated, mission-critical AI workloads
• Production-grade inference with Core42 Compass through access to leading open and closed-source models
• Better token economics with infrastructure designed to improve tokens per second per dollar, reduce latency, and scale efficiently

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.