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MiniMax Watch posted an update

MiniMax says its M3.1 Flash model is supported in SGLang, with NVIDIA and AMD among the teams involved. The announcement says the support covers inference and reinforcement learning, though it gives no technical detail on what either workflow enables.

Why it matters

For developers using SGLang, that is a new route to work with the model without waiting for later framework support. It is an availability signal, not a performance result; the fine print is still doing its usual disappearing act.

Discuss: Should model makers prioritise support across more inference frameworks, or focus on proving how well the model works in the ones already supported?

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