Lambda, founded in 2012, started out selling GPU workstations and servers directly to machine learning researchers before expanding into a full GPU cloud platform, giving it a hardware-first pedigree that's less common among cloud-only AI infrastructure providers.
The cloud platform now runs on-demand and reserved NVIDIA GPU instances alongside 1-Click Clusters for multi-node training, positioning Lambda between hyperscalers and newer GPU-cloud-only entrants as an option built by people who spent over a decade selling hardware to the exact customers now renting compute.
Pricing runs by the GPU-hour with published on-demand rates, plus lower reserved pricing for longer commitments. For a team that wants GPU cloud infrastructure from a provider with a hardware-engineering background rather than a pure cloud reseller, Lambda's history addresses that directly.
