Modal has launched Endpoint Candidates, a new feature designed to help users optimize inference endpoints. This tool allows for staging alternative deployments of dedicated endpoints to evaluate their performance on metrics like quality, latency, throughput, and cost. Users can test new model checkpoints or different models without building their own mirroring and deployment infrastructure, with the ability to promote successful candidates to production directly from the dashboard. Modal has also enhanced its Pingora-based proxy to manage traffic mirroring more efficiently, preventing slow candidates from impacting production performance. AI
IMPACT Enables easier A/B testing and optimization of AI model inference deployments.
RANK_REASON This is a new feature release for an existing product, not a frontier model release.
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