Gcore vs Vast.ai

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

Prices set by supply and demand across the platform with no list prices or hidden fees

GPU Cloud for full control, Serverless for zero-ops inference, Clusters for large-scale training

CLI, Python SDK, and REST API for programmatic GPU provisioning, installed together via a single package

API-native workflow intended for AI agents to search, procure, and release compute autonomously

Prebuilt templates for popular open-source models, plus custom templates any GPU can run with one click

Scale from $5 to 20,000 GPUs across 40+ data centers without contracts or minimums