Snowflake releases Arctic-Text2SQL-R2 alongside ZoRRo, a framework that speeds up enterprise SQL reinforcement learning by 3.5x

I’m excited to share new research work from the Snowflake AI Research Team focused on advancing enterprise AI systems. Arctic-Text2SQL-R2 is a reasoning model designed for enterprise SQL generation. Trained on Snowflake-native data and optimized for real-world enterprise SQL workloads, the specialized model outperforms larger frontier models on difficult SQL benchmarks despite being 30–150x smaller than other high-performing models. To make specialized models like Arctic-Text2SQL-R2 practical at scale, the team also introduced ZoRRo (Zero Redundancy Rollouts), a set of optimizations that eliminate redundant computation in long-context RL workflows. ZoRRo accelerated RL training by up to 3.5x, reducing runtime from over five days to only 1.5 days. It also reduced memory consumption enough to support 3.2x longer context windows, enabling more efficient training on complex enterprise reasoning workloads. Together, this work demonstrates how the next wave of enterprise AI innovation will be driven by both stronger domain-specific models and more efficient training systems. Read more in the blog posts in the comments: Arctic-Text2SQL-R2: http://www.snowflake.com/blog/engineering/enterprise-text-to-sql-arctic-r2 ZoRRo: http://www.snowflake.com/blog/engineering/zorro-enterprise-rl-training @yao_zhewei @yuxionghe @samyamrb @jeffra45 @StasBekman