Vast.ai (not to be confused with Vast Data, the storage provider) operates as a GPU marketplace, not a direct provider. The platform claims SOC2 compliance is in place directly, and some other notable security information: https://vast.ai/compliance. They also state that many underlying datacenter providers are ISO27001 compliant, a notable step up from an aggregator, but still less introspection on who the underlying provider is than we would like since generally only the location is described. Vast does provide ways for users to track datacenters by IDs, and toggle for a “secure cloud”, but does not expose who the underlying provider actually is outside of the country. Clusters are available on a per-request basis and we have not been able to try one out. Users can pay for their GPUs with stripe (credit card), coinbase, or crypto.com.
Our testing experience confirms the platform’s architectural focus: it is almost exclusively designed for containerized workloads, heavily pushing users toward Jupyter notebook environments. Gaining basic SSH access required manual configuration steps, and once connected, it was clear we were operating inside a container, not a VM or bare-metal host. This container-only model immediately precludes standard multi-node orchestration like Slurm or native Kubernetes, though cluster-on-demand requests are available.
Reliability and performance are unpredictable, which is characteristic of the aggregator model. Our first test instance was provisioned in Czechia, hosted by an unknown underlying provider (though an IP lookup suggests E-Infra or Zoner Cloud). While this instance was functional, the marketplace model means users are rolling the dice on many qualities with every deployment. Without the ability to test managed Slurm/Kubernetes, multi-node clusters, or review monitoring and health checks, Vast.ai remains a platform primarily built for individual developers and hobbyists.