Fluidstack vs RunPod

Bare-metal OS for AI infrastructure with fast provisioning, smooth orchestration, and total ownership

Monitoring and optimization system that catches problems before they impact workloads

Fully isolated infrastructure at hardware, network, and storage levels with no shared clusters

Direct engineering support with 15-minute response SLA and secure access controls

No egress or ingress fees, with on-node NVMe storage included

Clusters tested to deliver 95%+ of theoretical performance from day one

Access to a wide range of GPU types with enterprise-grade security

Only pay for the compute time you actually use

Programmatically manage your GPU instances via REST API

Pods typically ready in 20-30 s

SSH & VS Code tunnels built-in

Automatic migration on pre-empt