Yuki announced on February 09, 2026 that it has joined Amazon Web Services’ ISV Accelerate program, a co‑sell initiative that gives partners access to AWS sales teams, market development funds, and joint marketing resources. The partnership is designed to accelerate Yuki’s real‑time orchestration platform for cloud data warehouses and to broaden its reach beyond its existing Snowflake‑native app.
The platform is engineered to manage variable AI workloads that span Snowflake and Google BigQuery. It automates routing, right‑sizing, and capacity consolidation in real time, allowing customers to keep performance for generative‑AI and large‑language‑model pipelines while reducing spend. Yuki reports that its customers have achieved an average 42% reduction in compute costs and can onboard new workloads in under an hour, thanks to the elimination of idle capacity and optimized resource allocation across cloud data warehouses.
For Snowflake, the partnership strengthens its AI‑data cloud offering and reinforces its multi‑cloud strategy. Snowflake can now provide a unified, governance‑aware platform that lets enterprises run AI workloads across AWS, Azure, and GCP without compromising cost predictability, while Yuki’s orchestration layer enhances Snowflake’s native workload‑management features and adds cross‑platform visibility.
Perry Tapiero, head of marketing and GTM at Yuki, said the ISV Accelerate program will help Yuki scale its solution by leveraging AWS sellers and delivering faster outcomes for joint customers. He added that the partnership is a key step in expanding Yuki’s reach beyond its current Snowflake‑native app and into other cloud data warehouses.
The collaboration also positions Yuki to compete with other AI workload‑management solutions, such as Databricks and Snowflake’s own native features, by offering a cross‑platform orchestration layer that integrates with Snowflake, BigQuery, and future platforms.
The partnership signals a broader trend toward multi‑cloud AI data strategies, as enterprises seek governance‑aware, cost‑predictable solutions that can span AWS, Azure, and GCP while maintaining performance for AI workloads.
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