Post-training is becoming a critical workload for data providers. As data and environment supply increases, it is increasingly important to validate and show the quality of the data, which means vendors are training their own models: orchestrating evals, rollouts, sandboxes, and training and inference workloads all at once. We're excited to gather practitioners in the community together to share…