Gcore, a global provider of edge AI, cloud, network, and security solutions, has been named a Leader in the latest GigaOm Radar for AI Infrastructure, standing out among 14 global vendors—and as the only European company to earn a top-tier spot.
In an increasingly competitive and critical space, the GigaOm Radar report recognized Gcore for its innovative platform capabilities, deployment flexibility, and strong data sovereignty posture, particularly in Europe. The company’s ability to customize AI infrastructure for real-world, performance-intensive workloads helped secure its place in the Leader circle.
“Choosing Gcore AI is a strategic move for organizations prioritizing ultra-low latency, high performance, and flexible deployment,” the report notes.
Gcore’s Edge: Scalable, Sovereign, and Built for Speed
While cloud giants like AWS and Google Cloud dominate the conversation, Gcore is carving a niche with its globally distributed private network—an architecture that’s tailor-made for real-time AI applications at the edge. This includes LLMs, multimodal models, vision-based AI, and even time series inference for industrial and IoT use cases.
The company’s AI platform—featuring Gcore GPU Cloud and Gcore Everywhere Inference—supports model training, fine-tuning, and inference in just three clicks, according to the company. It’s designed for rapid scalability and per-second billing, offering an unusually fine-grained approach to cost control that enterprise clients will appreciate.
And for organizations navigating strict regulatory environments in Europe or abroad, Gcore’s emphasis on data sovereignty and compliance is more than a checkbox—it’s a core design principle.
“We’re proud to be the only European provider in the Leader category,” said Seva Vayner, Product Director of Edge Cloud and AI at Gcore. “Our mission is to make AI accessible, scalable, and secure—anywhere, anytime.”
The GigaOm Advantage: What the Radar Measures
The GigaOm Radar evaluates AI infrastructure vendors across technical and strategic dimensions, including:
- Scalability & Performance
- Deployment Flexibility (cloud, on-prem, hybrid, edge)
- Security & Compliance
- Interoperability & Customization
Gcore scored highly across these metrics, with particular strengths in ultra-low latency networking, dynamic scaling, and support for open-source AI frameworks.
Why It Matters: AI Infrastructure Is Now Strategic
With enterprise demand for real-time AI—from personalized recommendation engines to autonomous systems—scaling fast, the battle is shifting from just who has the most compute to who can deliver it flexibly, securely, and globally.
That’s where Gcore’s platform shines. It offers a viable alternative to hyperscalers for organizations that want tailored AI deployment, robust cost control, and regulatory clarity. And in sectors like finance, manufacturing, healthcare, and telecom, those trade-offs can make or break an AI initiative.
Gcore’s recognition by GigaOm not only validates its product vision—it also positions the company to capture a growing slice of the global AI infrastructure market. As edge computing becomes the next frontier for inference and training, Gcore’s network-first architecture and sovereign-ready stack could make it a go-to partner for enterprises deploying AI at scale without compromise.
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