GCORE, a global edge AI, cloud, networking and security solutions provider, has announced the launch of AI Cloud Stack, a next-generation software solution for building private AI clouds with HyperScaler grade capabilities and accelerating with NVIDIA.
The solution is specifically designed for Cloud Service Providers (CSPs), carriers and large enterprises, allowing you to quickly convert raw NVIDIA GPU clusters into completely cloudy multi-tenant infrastructure. In doing so, GCORE AI Cloud Stack offers fast tracks for new revenue streams while maximizing GPU usage.
The GCORE AI Cloud Stack enhances deep integration with leading technology partners: vast amounts of data, and Nokia. This solution solves the key challenges faced by CSPs and businesses when deploying and operating large-scale AI infrastructures. This is long time to market, operational inefficiency, and difficult to monetize capacity.
“We've seen a lot of effort into creating a new product,” said Seva Vayner, Product Director for Edge Cloud and AI at GCORE. “The future of AI infrastructure will be hybrid across both public and on-premises environments. Many industries face regulatory and operational requirements that require the deployment of prems. The architecture, operational blueprints, and cloudy software solutions from IAAS to MAAS can help organizations quickly and scale to transform into a performance cloud environment, accelerating AI adoption, deployment and profits.
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“GCORE brings together key pieces, computing, networking and storage into usable stacks,” said Dan Chester, CSP Director EMEA. “This integration will help service providers to stand up to AI cloud faster, faster to board clients and accelerate time to revenue. Coupled with the sophisticated multi-tenant capabilities of the vast AI operating system, it will provide reliable, scalable and fundamental AI infrastructure for the future.
“We've seen you get a lot of money,” said Mark Vanderhaegen, Head of Business Development for Nokia's Data Center Network. “We will work with GCORE, a powerful European ISV, to advance the networking reference architecture of AI clouds. GCORE's cloud software can adopt blueprints that can be deployed.
What GCORE AI Cloud Stack offers
GCORE AI Cloud Stack is the perfect solution for building, running, and commercializing private AI infrastructure.
- Cloudy Software Stack: Transform bare infrastructure into cloud-like consumption models such as IAAS, PAAS, GPU-as-a-Service, and Model-as-a-Service.
- Operational ExcellenceUsing a vast array of AI OS, GCORE AI Cloud integrates governance, scalable calculation and storage, secure networking, and AI-enabled services (Kubernetes, databases, and inference pipelines) to streamline deployment and maximize efficiency.
- GCORE AI Suite Integration: Expand a few click AI training and serverless inference.
- Hyper Scholar Grade Features: Match the capabilities of a public cloud provider with built-in billing, observability, orchestration, and professional services.
- White Label Options: We provide services under our own brand, relying on GCORE's trustworthy global backbone infrastructure and solutions.
- Nvidia AI Enterprise-Ready: Integrate pre-secured models, chatbots and nvidia ai blueprint to accelerate time to market.
The GCORE AI Cloud Stack has already been deployed across thousands of Nvidia Hopper GPUs across Europe, building a commercial-grade AI cloud with a full orchestration, abstraction and monetization layer.
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