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How a global fintech scaled coding agent traffic with Dedicated Model Inference
Together AI published a case study documenting how a global fintech scaled its coding assistant workload using Dedicated Model Inference.
The customer runs GLM 5.2 through Together's DMI service to handle spiky, engineering-hours traffic, and gained self-service endpoint provisioning, programmatic access to performance metrics, and the ability to swap models and adjust configuration without redeployment.
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With DMI, the customer's engineers scale endpoints, roll out models, and test changes themselves, no tickets, no waiting on Together. The result: infrastructure that moves as fast as the teams adopting it.
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