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# Jamba-Instruct is Now Available on Microsoft’s Azure AI
- URL: https://www.ai-360.online/ai21-labs-jamba-instruct-is-now-available-on-microsoft-s-azure-ai/
- Published: 2024-06-20T12:00:00.000Z
- Updated: 2026-10-25T21:53:07.000Z
- Description: From streamlining document comprehension to enabling more robust and sophisticated RAG Engine mechanisms, Jamba-Instruct’s context window opens up new…
- Author: Nicholas Lipinski
- Tags: news, #company-ai21-labs, 1. Enterprise AI

From streamlining document comprehension to enabling more robust and sophisticated RAG Engine mechanisms, Jamba-Instruct’s context window opens up new opportunities for powerful GenAI workflows, [the company said on 20 June 2024](https://www.ai21.com/blog/jamba-instruct-microsoft-azure-ai?ref=ai-360.online).

Jamba-Instruct, AI21’s groundbreaking Foundation Model Released earlier this month, Jamba-Instruct is AI21’s most recent—and most powerful to date—Foundation Model. As the world’s first production-grade SSM-Transformer model, Jamba-Instruct leverages its hybrid architecture to achieve best-in-class performance, quality, and cost efficiency. ‍Jamba-Instruct stands out for its: Impressive context window length : Offering a 70K context window, Jamba-Instruct is built to effectively handle long context instances. From streamlining document comprehension to enabling more robust and sophisticated RAG Engine mechanisms, Jamba-Instruct’s context window opens up new opportunities for powerful GenAI workflows.

From streamlining document comprehension to enabling more robust and sophisticated RAG Engine mechanisms, Jamba-Instruct’s context window opens up new opportunities for powerful GenAI workflows. Cost-efficient processing: Due to its novel hybrid architecture, Jamba-Instruct handles lengthy context on a smaller cloud footprint than ever before, avoiding driving up compute costs.

For enterprise buyers, the useful next step is to map the claim to controls, data residency and measurable outcomes—and to ask for evidence on failure modes, oversight and auditability before treating the release as production-ready fact.

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