ELPA Analysis
High GPU costs have created a thriving secondary market for compute. Platforms acting as brokers match companies with excess GPU capacity (often game studios, cryptocurrency operations, or private clouds) with AI teams needing training power.
This marketplace allows startups to lease computational power on demand, avoiding lock-in contracts with major cloud providers and lowering entry barriers for training smaller, specialized models.
However, secondary markets present challenges in security and connectivity. AI teams must ensure that their model code and datasets are protected on third-party hardware, while managing network latency across decentralized nodes.
