HomeJD Cloud Unveils MiniMax M3 Large Model, Marking a Leap in Inference Efficiency
JD Cloud’s JoyBuilder platform has integrated the newly launched MiniMax M3 model, making it available to users immediately upon release.
This update focuses on enhanced inference performance. The platform leverages its proprietary inference framework, incorporating advanced optimization techniques such as PD separation, KV Cache, and speculative sampling.
These underlying technologies work together to boost inference throughput and response efficiency, offering developers a smoother experience and accelerating the adoption of large models in real-world business applications.
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JD Cloud’s JoyBuilder platform has integrated the newly launched MiniMax M3 model, making it available to users immediately upon release.
This update focuses on enhanced inference performance. The platform leverages its proprietary inference framework, incorporating advanced optimization techniques such as PD separation, KV Cache, and speculative sampling.
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