Gcore, the global edge AI, cloud, and network solutions provider, has launched AI Cloud Stack, a next-generation platform designed to help cloud service providers (CSPs), telcos, and large enterprises transform raw NVIDIA GPU clusters into fully operational, hyperscaler-grade private AI clouds.
The solution addresses a persistent challenge in AI infrastructure: deploying and managing large-scale GPU clusters is slow, complex, and often fails to deliver profitable ROI. By providing a turnkey software stack, Gcore promises to accelerate AI adoption while maximizing GPU utilization and opening new revenue streams.
Turning GPUs into a Cloud
At its core, AI Cloud Stack enables organizations to rapidly “cloudify” their AI infrastructure. The platform spans from IaaS to MaaS, delivering multi-tenant capabilities, built-in orchestration, and GPU-as-a-Service offerings. Enterprises can now spin up AI training environments, serverless inference pipelines, and other workloads with just a few clicks, without building complex infrastructure from scratch.
Seva Vayner, Gcore Product Director for Edge Cloud and AI, explains: “Many industries require hybrid deployments to meet regulatory and operational needs. AI Cloud Stack removes the barriers to building scalable, performant cloud environments, allowing organizations to deploy accelerated computing resources quickly and monetize them efficiently.”
Powered by Partners
The stack integrates deeply with leading technology partners. VAST Data’s AI Operating System delivers unified governance, compute, and storage management, while Nokia’s networking reference architecture ensures reliable, programmable connectivity across data centers and the edge.
Dan Chester, VAST Data CSP Director EMEA, notes: “Gcore brings together compute, networking, and storage into a usable stack, helping providers stand up AI clouds faster and onboard clients sooner.”
Mark Vanderhaegen from Nokia adds: “Combining Nokia’s networking with Gcore’s cloud software accelerates deployable blueprints that customers can adopt globally.”
Hyperscaler-Grade Capabilities
Gcore AI Cloud Stack is designed to match public cloud functionality, including:
- Cloudification Software: Deliver IaaS, PaaS, GPU-as-a-Service, and Model-as-a-Service.
- Operational Excellence: Streamline deployment with governance, orchestration, secure networking, and AI-ready services.
- NVIDIA AI Enterprise Integration: Support pretrained models, chatbots, and NVIDIA blueprints.
- White-Label Options: Offer services under your brand using Gcore’s global infrastructure.
Already deployed on thousands of NVIDIA Hopper GPUs across Europe, AI Cloud Stack provides a fully orchestrated, multi-tenant, commercial-grade AI environment, ready to accelerate enterprise AI workloads at scale.
With AI adoption skyrocketing and enterprises seeking alternatives to public cloud dependency, Gcore’s AI Cloud Stack positions itself as a flexible, turnkey option for companies looking to unlock AI revenue while keeping control of their infrastructure.
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