Discover the new breakthrough in AI deployment with Gcore’s latest platform, Everywhere AI. This innovative solution simplifies the process of training and deploying AI models across various environments, including cloud, hybrid, and on-premise, with just three clicks.
Edge AI solutions provider Gcore has launched “Everywhere AI,” a common AI platform for deploying anywhere on cloud, hybrid and on-premise environments in just three clicks.
The platform makes it easy to train and deploy AI at scale, including features like automatic scaling, GPU health checking, and CDN integration for real-time machine learning (ML) based applications.
It also comes with Smart Routing via Gcore for ultra-low-latency inference, lifecycle management and compliance.
Everywhere AI has been designed for high performance and compliance environments with the flexibility to deploy in air-gapped and public cloud.
“Enterprises today need AI that simply works, whether on-premises, in the cloud, or in hybrid deployments,” says Seva Vayner, product director, Edge Cloud and AI at Gcore. “With Everywhere AI, we’ve taken the complexity out of AI deployment, giving customers an easier, faster way to deploy high-performance AI with a streamlined user experience, stronger ROI, and simplified compliance across environments. This launch is a major step toward our goal at Gcore to make enterprise-grade AI accessible, reliable, and performant.”
The platform is sold as a GPU subscription for owned or rented GPUs and can be combined with HPE GreenLake to bring AI workloads to scale. It solves AI lifecycle management problems, simplifying complexity for ML engineers and infrastructure teams while delivering higher ROI and better model performance.
Gcore wants to provide access to and trust in enterprise AI, transforming itself from a GPU Cloud provider into a full-service AI software and deployment partner. The offering will work on HPE Proliant systems and target global enterprise AI projects.
Related
AI/ML | enterprise AI | Gcore | GPU infrastructure | hybrid cloud
