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MiniMax M3 is a new open-weight model for coding, agentic, and multimodal workloads. MiniMax describes M3 as combining three frontier capabilities in one model: strong coding and agentic task performance, long-context MiniMax Sparse Attention (MSA), and native multimodality for text, image, and video understanding. The 1M-token context window of MiniMax M3 enables sophisticated, long-horizon application workflows, including autonomous software engineering agents, repository-wide reasoning, and native multimodal document analysis alongside tool-driven automation. The AMD day-zero enablement foc
Day 0 Support for MiniMax M3 on AMD Instinct GPUs… Additional Resources Learn more about MiniMax M3: https://www.minimax.io/models/text/m3 Read the MiniMax M3 launch blog: https://www.minimax.io/blog/minimax-m3 Minimax Model on HuggingFace: https://huggingface.co/MiniMaxAI/MiniMax-M3 vLLM recipes: https://recipes.vllm.ai/MiniMaxAI/MiniMax-M3 SGLang… …
… H3 uses 8-way sequence parallelism across all visible GPUs; ROCm PyTorch honors HIP VISIBLE DEVICES and maps CUDA VISIBLE DEVICES , so export both: export CUDA VISIBLE DEVICES=0,1,2,3,4,5,6,7 export HIP VISIBLE DEVICES=0,1,2,3,4,5,6,7 export MINIMAX H3 FL2VA MODEL PATH=/models/MiniMax-H3/FL2VA serv… …
… MiniMax describes M3 as combining three frontier capabilities in one model: strong coding and agentic task performance, long-context MiniMax Sparse Attention MSA , and native multimodality for text, image, and video understanding. …
… MiniMax describes M3 as combining three frontier capabilities in one model: strong coding and agentic task performance, long-context MiniMax Sparse Attention MSA , and native multimodality for text, image, and video understanding. …
… July 21, 2026 Rebuilding Agentic AI for AMD GPU AMD and Moonshot AI built an agentic AI serving stack that optimizes KV cache, scheduling, and GPU performance on AMD Instinct™ GPUs July 21, 2026 Efficient MiniMax-M3 Inference on AMD Instinct GPUs with ATOM and ATOMesh — ROCm Blogs Serve and benchma… …
… Agenda TIME MAIN STAGE LUMINARY SPEAKERS WORKSHOP ROOM 1 WORKSHOP ROOM 2 9:00 – 10:00 AM Registration & Breakfast 10:00 – 11:20 AM Keynote 11:30 – 12:30 PM Lunch and Networking 12:30 – 1:45 PM AMD, RadixArk 12:30 – 1:30 PM Building Your Personal OpenClaw Agent with Open-Source Models 12:30 – 1:30 P… …
… Case Study: MiniMax M3 Sparse Attention — GQA Prefill and Decode Index Kernels MiniMax M3 uses sparse attention: an indexer scores 128-token KV blocks, selects top-k blocks, and the GQA attention kernel computes attention only over those selected blocks. …
… July 05, 2026 Accelerating Large-Scale LLM Inference on AMD Instinct MI350X/MI355X with Eagle3 and AMD Quark — ROCm Blogs Learn how the AMD Quark team enables Eagle3 speculative decoding for Kimi-K2.5 and MiniMax-M2.5 on AMD Instinct MI355X GPUs with ROCm, vLLM, and InferenceX. …
… Article By Michael Abel Related Blogs View All Blogs Day 0 Support for MiniMax-H3 on AMD GPUs Learn how MiniMax-H3 delivers unified multimodal AI video generation with day-0 support on AMD Instinct™ GPUs. …
… MiniMax describes M3 as combining three frontier capabilities in one model: strong coding and agentic task performance, long-context MiniMax Sparse Attention MSA , and native multimodality for text, image, and video understanding. …