Aggregators Enable and Commoditize Inference

This channel gives General Compute fast distribution, but it also turns inference into a side by side shelf where buyers can compare speed, price, and reliability in real time. That is useful at launch because demand arrives without building a big sales team first. Over time, it shifts bargaining power toward the routing layer and makes General Compute prove its edge through repeatable workload wins, not just raw benchmark claims.

• OpenRouter sits between apps and model providers with one API, one billing flow, and automatic model switching across 400 plus models from 60 plus providers, taking roughly a 5% take rate. That gives suppliers instant demand, but it also standardizes comparison and makes provider substitution easier.
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• The same pattern shows up across inference peers. Fireworks and Together both use self serve APIs to land developers, then push into dedicated deployments, enterprise contracts, and broader infrastructure relationships. That is the usual escape hatch from pure price competition at the routing layer.
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• Hyperscalers are a different threat. Bedrock, Vertex, and Azure bundle model access with security review, billing, governance, and existing cloud commitments. In large accounts, that can outweigh better latency from a specialist vendor because procurement friction matters as much as model performance.
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The likely next step is a split market. Routing layers will keep winning startup traffic and experimental workloads, while durable value shifts toward vendors that can lock in dedicated capacity, private deployments, compliance controls, and workload specific optimization. For General Compute, the path forward is to use aggregator demand as a wedge, then graduate strong accounts into direct enterprise relationships.