Gcore vs Genesis Cloud

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

End-to-end machine learning platforms with high reliability and scalability

35x more performance for LLMs, GenAI, and large multi-node trainings

AI workloads under EU regulations with enhanced security

100% green energy powered data centers with low PUE

End-to-end AI platform with ClearML integration for experiment tracking, data versioning, and pipeline orchestration

Inference Service API for running models without managing GPU instances directly