CoreWeave Model Distillation

Platform

Managed post-training workflow that trains a smaller open-weight model on examples from a production task with Serverless supervised fine-tuning, scores it against the model already in use on held-out traffic, and moves traffic over gradually; in preview inside CoreWeave Forge.

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TypePlatform
RoleBundled component
AvailabilityDemonstrated, not sold
DeploymentSaaS
Intended forDeveloper, Enterprise
SecurityNot recorded
StatusActive
Sold withinCoreWeave Forge — Included with the parent
PricingNot recorded — official pricing ↗

What it does

coreweave.com

Sources

Pricing

Official documentation · 18 Oct 2026

"Model Distillation isn't billed separately. You pay standard rates for the services the workflow uses, including Serverless SFT at $2.70 per GPU-hour"; no charging model is stated for the preview itself.

Description

Official documentation · 18 Oct 2026

"Train a smaller model for the task you already run in production. Turn real examples into training data, compare candidates against your current model, and move traffic when the results meet your quality bar."; "Train a smaller open-weight model on examples from your task using Serverless supervised fine-tuning (SFT)."

What it does

Official documentation · 18 Oct 2026

"CoreWeave Model Distillation is a managed post-training capability available through CoreWeave Forge. It uses supervised fine-tuning to train a smaller open-weight model".

Sold within

Official documentation · 18 Oct 2026

"Model Distillation is part of CoreWeave Forge"; "Model Distillation isn't billed separately."

Name

Official documentation · 18 Oct 2026

"CoreWeave Model Distillation".

URL

Official documentation · 18 Oct 2026

The product's own page, titled "CoreWeave Model Distillation" and linked from the Forge menu as "Model Distillation Preview".

Deployment

Official documentation · 18 Oct 2026

"Deploy through CoreWeave Inference and set the share of requests each model receives." CoreWeave manages the training infrastructure.

Intended for

Official documentation · 18 Oct 2026

For teams that already run a frontier model on a production task and want to test "whether a smaller, specialized model can meet your quality requirements".

Also from CoreWeave

Open CoreWeave in the directory

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