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Alibaba released Qwen3.8-Max, a 2.4T-parameter open-weight model, enabling MENA enterprises to deploy near-frontier AI locally on NVIDIA GB300 NVL72.

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Qwen3.8-Max: Alibaba's 2.4T-Parameter Open Model Brings Frontier-Level AI to the Region

Overview

FAQ

What is Qwen3.8-Max?

It is Alibaba's largest open-weight language model with 2.4T total parameters and 95B activated per token, using a fine-grained MoE architecture with hybrid attention.

How does Qwen3.8-Max compare to closed models like GPT-4?

It offers near-frontier capabilities but is open-source, allowing enterprises to run it locally on hardware like NVIDIA GB300 NVL72, with more control over data and costs.

Can MENA enterprises use Qwen3.8-Max?

Yes, it can be deployed on local infrastructure, reducing reliance on external clouds and enhancing data privacy, suitable for government and industrial applications.

What are the hardware requirements for Qwen3.8-Max?

It requires powerful hardware like NVIDIA GB300 NVL72, designed for large data centers, not for individual devices.

Source: NVIDIA Developer (AI)

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