Microsoft releases Grok 4 in private preview on Azure
Microsoft is launching xAI's new model, Grok 4, on its cloud platform, Azure AI Foundry. The rollout is taking place as a private preview, following the company's decision to adopt a more cautious launch strategy for the new AI model.
What happened?
Microsoft is launching xAI's new model, Grok 4, on the Azure AI Foundry platform via a private preview. This decision signifies a notably more cautious rollout compared to previous model versions such as DeepSeek-R1 and Grok 3. The launch is restricted to a select group of enterprise customers for evaluation and testing purposes.
Key facts
| Modell | Grok 4 |
|---|---|
| Plattform | Microsoft Azure AI Foundry |
| Lanseringsform | Privat förhandsvisning (private preview) |
| Datum | 7 augusti 2025 |
Why it matters
This cautious strategy marks a shift in how rapidly Microsoft integrates external AI models into its cloud services. By limiting access, the company aims to thoroughly evaluate the model's safety, reliability, and content filtering to prevent inappropriate content from reaching its broader base of enterprise customers.
Who is affected?
The rollout primarily affects developers and enterprise customers who use Azure AI Foundry and wish to test xAI's latest model. General consumers and standard Azure users do not currently have access to the preview version.
Impact on the EU
Availability of Grok 4 on Azure AI Foundry in the EU is limited to companies with access to the private preview. Companies processing data within the EU must consider the GDPR and the stringent requirements of the EU AI Act regarding transparency and security protocols before deploying the model into production.
What else you should know
Microsoft's caution stems from previous incidents where xAI models generated inappropriate content and praised controversial historical figures such as Adolf Hitler. The restricted launch format allows Microsoft to evaluate the model's safety guardrails within controlled corporate environments before any potential wider release.
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- Assess technical risk: model choice, vendor lock-in, data flow and running cost.
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