Today, the MiniMax M3 model is officially launched in the market, and the JoyBuilder model development platform of JD Cloud has completed the integration synchronously and has opened relevant services to a wide range of users from the first moment.
The core of this technical iteration lies in the significant improvement of inference performance. In terms of application deployment, the platform integrates its self-developed inference framework and deeply combines several cutting-edge inference optimization technologies, including PD separation deployment, KV Cache caching, and speculative sampling.
Thanks to the collaborative efforts of these underlying technologies, the newly integrated model achieves a higher inference throughput in practical operations, and the overall response efficiency has also been significantly improved. This not only provides developers with a smoother calling experience but also has the potential to further accelerate the application of cutting-edge large models in specific business scenarios.
