Bring the power of Azure Databricks with open-source Llama 4 to your AI agents
We are excited to announce the availability of Meta's Llama 4 in Azure Databricks.
As you know, enterprises all over the world already use Llama models in Azure Databricks to power AI enterprise agents, workflows, and applications. Now with Llama 4 and Azure Databricks, you can get higher quality, faster inference, and lower cost than previous models.
Llama 4 Maverick, the highest-quality and largest Llama model from today's announcement, is built for developers building the next generation of AI products that combine multilingual fluency, image understanding precision, and security. With Maverick on Azure Databricks, you can:
- Build domain specific AI agents with your data
- Run scalable inference with your data pipeline
- Fine-tune for accuracy and
- Govern AI usage with Mosaic AI Gateway
Azure Databricks Intelligence Platform makes it easy for you to securely connect Llama 4 to your enterprise data using Unity Catalog governed tools to build agents with contextual awareness.
Enterprise data needs enterprise scale, whether it is to summarize documents or analyze support tickets, but without the infrastructure overhead. With Azure Databricks workflows and Llama 4 at scale, you can use SQL/Python to run LLMs at scale without overhead.
You can tune Llama 4 to your custom use case for accuracy and alignment such as assistant behavior or summarization.
All this comes with built in security controls and compliant model usage via Azure Databricks Mosaic AI Gateway with PII detection, logging, and policy guardrails on Azure Databricks.
Llama 4 is available now in Azure Databricks. More models will become available in phases. Llama 4 Scout is coming soon and you'll be able to pick the model that fits your workload best. Learn more about Llama 4 and supported models in Azure Databricks here and get started today.
Microsoft