CoreWeave launches Forge to link the production AI workflow

CoreWeave launched Forge on September 30, moving beyond infrastructure offerings such as Vera Rubin cloud access for production workloads and into the workflow for improving production models and agents. The development layer brings serving, observability, data curation, post-training and evaluation into one environment.

Forge combines Weights & Biases Models, OpenPipe’s post-training expertise, the open-source marimo notebook project and CoreWeave services, according to the company. CoreWeave markets the layer as cloud-agnostic and says its SDK works across models and frameworks, including workloads on other clouds or on-premises. The company also says Forge keeps artifacts in open, portable formats. Those portability claims have not been independently verified.

In the workflow described by CoreWeave, Agent Lens captures traces from production systems. Teams can turn flagged failures into versioned datasets in Weights & Biases Models, then use those datasets for supervised fine-tuning, reinforcement learning or distillation. They can compare candidate systems with existing versions and record datasets, checkpoints and rollback points in a registry.

Forge launched in Free, Pro and Enterprise editions. CoreWeave said ARIA, its agent runtime, and Sandboxes were generally available, while reinforcement-learning rollouts for Dedicated Inference remained in preview.

CoreWeave named MasterClass and Canva as customers already building on Forge. A separate CoreWeave announcement about MasterClass quotes the education company’s product and technology chief saying it uses W&B Weave to inspect complete learner conversations and identify where its AI teaching agents need improvement. The available sources did not include first-party confirmation from Canva.

The company also made benchmark claims that remain unverified. CoreWeave said Serverless RL trained 1.4 times faster at 40% lower cost than a self-managed setup, but its launch materials did not provide the comparison methodology or independent validation. CoreWeave’s own materials conflict on Agent Lens costs: the launch release says one-tenth the cost of a general-purpose frontier LLM, while a same-day company blog says half the cost. Both say Agent Lens improved critical-failure detection by 20%, without disclosing the benchmark protocol.