Gcore
Global edge cloud with NVIDIA GPUs and inference at the edge
Last reviewed May 8, 2026
Gcore is a global edge cloud provider offering NVIDIA GPU instances and bare-metal clusters, including GB200 capacity, alongside an inference platform that runs models close to end users across its CDN footprint.
We're actively tracking prices for Gcore. Check back soon, or browse other providers with current pricing.
Pros & Cons
Advantages
- Wide global edge presence beyond typical neocloud regions
- Access to Blackwell-generation GB200 systems
- Combined CDN, networking and GPU stack from a single provider
Limitations
- Catalog spans many products beyond GPU compute, which can complicate pricing
- GPU SKU availability varies meaningfully by region
- Less GPU-specialized than dedicated training neoclouds
Key Features
Global Edge Footprint
GPU and inference workloads deployable across Gcore's worldwide edge points of presence
GB200 Capacity
Blackwell-generation GB200 systems available alongside H100 and H200
Inference at the Edge
Managed inference platform that serves models from regions closest to users
Bare-Metal and Cloud GPUs
Both managed cloud GPU instances and dedicated bare-metal nodes
Pricing Options
| Option | Details |
|---|---|
| On-Demand Cloud GPUs | Hourly billing for self-serve GPU virtual machines |
| Bare-Metal Clusters | Dedicated bare-metal GPU servers, typically reservation-led |
| Inference Platform | Per-request or per-second billing for hosted model endpoints at the edge |
Availability & Support
Regions
Global edge presence across Europe, North America, Asia, Latin America and the Middle East
Support
Documentation, support tickets and enterprise contracts
Getting Started
- 1
Create an account
Sign up at the Gcore customer portal
- 2
Select GPU product
Choose between cloud GPU instances, bare-metal clusters, or the inference platform
- 3
Provision and connect
Launch via the portal or API and connect over SSH or supported orchestrators