Gcore vs Massed Compute

GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide

8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S

Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used

Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup

AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure

Assurance of fully-supported, high-performance NVIDIA GPU solutions

Independent attestation of security, availability, and confidentiality controls

Hourly VMs or single-tenant servers—no long-term contracts

REST API to list, provision, manage, and retire GPU instances programmatically

Redundant power, cooling, and network for >99.98 % uptime

Launch pre-configured AI/ML or VFX desktops in a browser—no CLI needed