Private Training Compute Clusters

Definition

Dedicated training infrastructure owned and operated by companies for proprietary AI development (not available on demand). Typically used for confidential or long-term projects where compute cannot be shared or outsourced. May include in-house or dedicated, long-term private co-located compute supply in third-party data centres.

Examples

• In-house clusters at technology firms, finance, defence, or pharmaceutical companies.

Indicators

• Number of local clusters, number of accelerators
• Total private compute capacity in H100 equivalents
• Investment in private AI infrastructure

Stocktake

• No specific research sources surfaced through consultation.