Run and route AI workloads in your own cloud with Chalk Model Gateway

Chalk has introduced Model Gateway, an OpenAI-compatible routing service that operates within an organization’s existing Chalk deployment and cloud environment, aiming to centralize model selection, failovers, spending controls, rate limits, and request tracing without placing a third-party gateway between applications and model providers. The gateway supports bring-your-own keys for providers including OpenAI, Anthropic, Google Vertex, and AWS Bedrock, while also routing requests to self-hosted open-weight models served through Chalk Compute. Its features include ordered fallback policies, token and request budgets, concurrency limits, judge-based task routing, shadow-mode testing for new policies, and configurable tracing and retention. Chalk argues that routing requests between lower-cost and frontier models can substantially reduce inference costs, citing an illustrative scenario with a 65% cost reduction and a customer moderation use case involving fine-tuned open models. The product is positioned as part of Chalk’s broader production AI infrastructure, alongside data context, model serving, compute, and evaluation tools.

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