How our AI Research team uses AI Runtime
Databricks AI Research team uses AI Runtime for training and fine-tuning models at scale.
Databricks AI Research uses the company's AI Runtime (AIR) to train and fine-tune models at scale, from small experiments to workloads spanning hundreds of GPUs.
The team relies on built-in GPU resiliency, fast job launches, and integrations with MLflow and Unity Catalog to accelerate experimentation.
Agent-driven research has increased training jobs 8x, with AIR supporting faster, automated experimentation.
