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Databricks and Microsoft lock in Azure Databricks and Cobalt 200 chips through the 2030s, boosting AI performance up to 50% for enterprise workloads.
Databricks announced it will run core operations on Azure Databricks and adopt Microsoft’s next‑gen Cobalt 200 processors, extending its strategic partnership with Microsoft into the 2030s to accelerate enterprise AI workloads【1】.
| At a glance | |
|---|---|
| Partnership extension | Through the 2030s |
| New hardware | Cobalt 200 (up to 50% faster) |
| Current usage | Cobalt 100 processors |
| Integrated products | Microsoft 365, Teams, Copilot, Power BI, OneLake, Purview, Microsoft Foundry |
The agreement makes Azure the exclusive cloud for Databricks’ core analytics and its unified lakehouse, cementing Azure Databricks as the platform for thousands of customers such as Banco Bradesco, Electrolux, and Unilever【1】. In parallel, Databricks will migrate from the Cobalt 100 to the Cobalt 200, which Microsoft says delivers up to 50% better performance and includes default memory encryption【1】. The move targets the “persistent obstacle” of linking large operational data sets to trustworthy AI models while keeping security and cost under control, a challenge cited by both firms【1】.
By locking in Azure through the next decade, Databricks deepens its reliance on Microsoft’s Arm‑based infrastructure, differentiating itself from rivals that remain multi‑cloud or rely on x86‑based GPUs. The performance boost from Cobalt 200 positions Databricks against other cloud AI providers that still depend on traditional GPU fleets, potentially narrowing the gap for enterprises that value integrated security (memory encryption) and cost efficiency. Microsoft, meanwhile, gains a high‑profile AI customer to showcase its Cobalt line and to embed Databricks Genie and Unity AI Gateway across its productivity suite, reinforcing Microsoft’s AI‑first narrative across Teams, Copilot, and Power BI【1】.
The extension signals a long‑term bet that integrated, secure, and high‑performance AI on Azure will become a cornerstone for enterprise data strategy, but the ultimate impact will hinge on how quickly customers migrate to the Cobalt 200 and whether rivals can match its performance‑cost proposition.
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The partnership aims to enhance AI and data lakehouse capabilities on Azure, including the use of Azure Cobalt processors for improved performance.
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