New Gcore platform simplifies enterprise AI deployment
Businesses are keen to deploy AI but doing so across hybrid and regulated environments, and managing the resulting workloads, remains deeply complex.
This is why Gcore is launching Everywhere AI, a deployment platform that allows enterprises to deploy, scale, and optimize AI workloads flexibly across on-premises, hybrid, and cloud environments while maximizing performance, efficiency, and revenue.
Built for high-performance and regulated environments, Everywhere AI gives businesses using GPUs at scale complete control over how resources are consumed and where workloads run without sacrificing speed, scalability, or efficiency. It is offered as a GPU subscription, meaning the solution can be leveraged regardless of whether customers own or rent their GPUs.
Seva Vayner, product director, edge cloud and AI at Gcore, says, “Enterprises today need AI that simply works, whether on-premises, in the cloud, or in hybrid deployments. 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.”
AI initiatives often stall or fail before production because of the complexity of the AI lifecycle, especially managing distributed, resource-intensive infrastructure. ML engineers lose time setting up clusters. Infrastructure teams struggle to balance utilization, cost, and performance. And businesses see projects delayed and revenue disappear.
Everywhere AI solves this by providing one intuitive platform that combines training and inference, allowing AI deployments to be managed with just three clicks. This brings relief to ML developers and infrastructure engineers, while delivering fast results to the business.
The platform has been validated on HPE ProLiant Compute servers and is available through HPE GreenLake, giving customers flexible, consumption-based access to GPU power for high-performance AI, without infrastructure headaches.
Vijay Patel, global director service providers and co-location business at HPE, says, “Gcore Everywhere AI and HPE GreenLake streamline operations by removing manual provisioning, improving GPU utilization, and meeting application requirements including fully air-gapped environments and ultra-low latency. By simplifying AI deployment and management, we’re helping enterprises deliver AI faster and create applications that deliver benefits regardless of scale: good for ML engineers, infrastructure teams, and business leaders“.
You can find out more on the Gcore site.
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