Deep collaboration across the global GPU computing ecosystem, including priority access to next-generation AI accelerators and joint performance optimization for 10,000+ GPU-scale clusters.
Large-scale deployment of MI300 series AI accelerators across data center environments, establishing a diversified hardware supply ecosystem and reducing reliance on a single-chip supply chain.
Collaboration on Cortex AI computing infrastructure, jointly developing industry-specific integrated data intelligence solutions.
Providing dedicated computing infrastructure for Mosaic AI private deployments, connecting the full data intelligence pipeline from lakehouse platforms to AI model training.
Deep cooperation on elastic cloud computing expansion, enabling public cloud customers to seamlessly access global intelligent computing clusters with one-click deployment.
Building a 10,000+ GPU-scale reinforcement learning training foundation to continuously support the evolution and iteration of Claude foundation models.
Collaborating on secure AI infrastructure for government and enterprise compliance platforms, providing high-security isolated computing environments for mission-critical applications.
Providing dedicated AI computing support for Einstein AI-powered intelligent marketing solutions, enabling enterprise SaaS-driven intelligent business transformation.
Creating interconnected AI-native cloud computing infrastructure, delivering low-latency and elastic computing resources for North American AI startups and emerging AI companies.
Collaborating with leading chip manufacturers and data platform providers to establish unified standards for underlying computing power scheduling and data flow management. Enable seamless AI training and inference without cross-region data migration, eliminate data silos, and significantly enhance overall cluster throughput efficiency.
Leveraging the deployment experience of industry partners, we provide ready-to-use compliant AI computing sandboxes for high-value scenarios including finance, healthcare, autonomous driving, and enterprise/government digital transformation, significantly lowering the technical barriers for enterprise AI adoption.
Collaborating with leading chip manufacturers and data platform providers to establish unified standards for underlying computing power scheduling and data flow management. Enable seamless AI training and inference without cross-region data migration, eliminate data silos, and significantly enhance overall cluster throughput efficiency.
