CoreWeave launches Forge, letting model checkpoints hot-load into live deployments
The cloud vendor wires inference and reinforcement learning into one loop; hot-loading lowers iteration friction, but customer results are still unproven.
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CoreWeave announced its Forge platform at the Fully Connected event, where newly trained model checkpoints can be hot-loaded into live deployments.
The platform includes Agent Lens activity tracing, model distillation, and an RL Rollouts service that updates live models without redeploying the system. Chen Goldberg, executive vice president of product and engineering, said users can start with serverless inference and add pieces gradually.
Customer Cognition's research head Silas Alberti said its Devin agent trains continuously, targeting 99.99% reliability across data centers. TheCUBE, which produced the coverage, is a paid media partner for the CoreWeave-sponsored event, so all of the above is vendor statement.