Gcore x graphiant - Accelerating Sovereign AI Infrastructure with Secure Neo-Cloud Connectivity
Enterprises moving AI into production need infrastructure that can support distributed workloads across public clouds, data centers, edge locations, and regions. This creates challenges around fragmented networking, high cloud costs, limited visibility, regulatory compliance, data sovereignty, and protection of sensitive AI workloads.
Graphiant and Gcore address these challenges through a joint solution that combines Gcore’s scalable GPU infrastructure and AI deployment platforms with Graphiant’s secure, cloud-native connectivity fabric. Together, they provide a simpler, more cost-effective foundation for production AI by securely connecting enterprise data sources to AI workloads wherever they reside.
The combined solution enables organizations to move, process, and operationalize AI workloads globally while maintaining performance, governance, compliance, data sovereignty, and operational control
As enterprises move AI from experimentation into production, they face a new infrastructure challenge. AI applications, models, and data are no longer confined to a single cloud or data center. Instead, they are distributed across multiple public clouds,on-premises environments, edge locations, and geographic regions.
This distributed architecture creates significant operational challenges. Organizations are left managing fragmented infrastructure and disconnected networks, while incurring the high cost of traditional public cloud resources. At the same time, they often lack visibility and control over where enterprise data travels, making it difficult to satisfy data sovereignty requirements, maintain regulatory compliance, and protect sensitive AI workloads.
Graphiant and Gcore provide a unified approach to solving these challenges by delivering an enterprise-ready AI infrastructure that combines high-performance AI computing with secure,intelligent networking. Together, the solution provides a more cost-effective and operationally simpler foundation for production AI than traditional public cloud-only architectures. It enables organizations to connect existing data sources across public clouds, private data centers, and edge environments while maintaining complete control over how and where enterprise data moves, helping organizations meet compliance requirements and build truly sovereign AI infrastructure.
Gcore delivers scalable GPU infrastructure and AI deployment platforms designed to simplify enterprise AI operations through high-performance AI cloud services and distributed serverless inference capabilities with AI Grid. Graphiant provides secure,cloud-native network connectivity that unifies public cloud, neo-cloud, edge,and enterprise infrastructure into a single operational fabric, eliminating fragmented connectivity and securely connecting enterprise data sources to AI workloads regardless of where they reside.
Together, Graphiant and Gcore enable enterprises to securely connect,move, process, and operationalize AI workloads globally while maintaining performance, governance, data sovereignty, and operational simplicity.
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