Moore Threads MTT S5000 GPU Supports MiniMax M3 AI Model

Moore Threads has enabled its MTT S5000 graphics card to run the open-source MiniMax M3 multimodal model on the same day the model launched. This rapid compatibility matters because it allows developers to test and deploy frontier AI capabilities without waiting for extended driver updates. The move signals that the hardware is ready for immediate integration into production workflows.

Moore Threads MTT S5000 GPU enables Day-0 deployment of MiniMax M3 model

The MTT S5000 serves as the foundation for this capability, providing the necessary compute power to handle the model's demands. Moore Threads completed a Day-0 rapid adaptation for the MiniMax M3 model, which features a 1 million token context window. This support extends to the model's frontier Coding and Agentic capabilities, broadening the use cases for the GPU.

• AI Compute (Dense): 1000 TFLOPS
• VRAM: 80GB
• Memory Bandwidth: 1.6TB/s
• Supported Precision: FP8 to FP64
• Inference Frameworks: vLLM, SGLang

Technical performance relies on the card's 80GB of VRAM and a memory bandwidth of 1.6TB per second. The GPU supports native FP8 acceleration, which provides sufficient cache and data throughput for million-token long sequences. It also covers a wide range of precision formats, spanning from FP8 to FP64, to maintain model accuracy during inference.

The adaptation includes support for the vLLM and SGLang inference frameworks, which are key tools for efficient model serving. Moore Threads states that these optimizations significantly increase inference throughput and reduce response latency. The company highlights that this performance gain is achieved while maintaining the precision required for high-quality model outputs.

We looked at the last mtt s5000 update earlier while tracking Moore Threads releases. The current focus remains on software ecosystem compatibility through the MUSA platform, which facilitates rapid model deployment. This continued emphasis on software support aims to keep the hardware relevant for evolving AI workloads.

The MTT S5000 now officially supports the MiniMax M3 model through native acceleration and optimized framework integration. This confirmation provides a clear path for users to implement the model using existing Moore Threads hardware.