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Model Deployment

247 summarised stories about Model Deployment, each linking back to the original source. Browse all topics →

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Friday, 28 August 2026

How Decathlon runs demand forecasting at scale with Chronos-2

Amazon Web Services 1 month ago 36

Decathlon selected Chronos-2 as the core model in its demand forecasting stack after benchmarking multiple time series foundation models on its retail data and testing it in production on AWS. Chronos-2 fine-tuned runs with inference under 2 minutes per cutoff for 25,000 products. Decathlon now forecasts weekly on 12-week replenishment and 52-week horizons with less retraining and faster region rollout, reducing WAPE versus its prior models and improving inventory savings and availability.

Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components

Amazon Web Services 1 month ago 51

Salesforce used SageMaker Inference Components’ IC Placement controls to deploy Agentforce models with multi-AZ high availability instead of relying on default placement that could create single-AZ or single-instance failures. The approach uses SchedulingConfig with CopyCount=2 for strict 2-AZ support, enforced via MaxImbalance=0 and PlacementStrategy=SPREAD. As a result, model deployments and subsequent scale/update operations preserve balanced copies across Availability Zones, meet a 2-AZ compliance bar, and keep multi-model co-hosting cost efficiency while improving fault isolation.

Ulpaso

Product Hunt 1 month ago 31

Ulpaso launched as an AI notetaker that transcribes meeting audio locally on a Mac into an editable Markdown file. It positions itself as not using a cloud or login and avoids a $20/month fee. This shifts meeting-note capture toward a no-account, local workflow with output you can directly edit.

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