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MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications 

NVIDIA Developer Blog · published 12 April 2026

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Links from this post

Link
Host
https://www.minimax.io/news/minimax-m27-en
minimax.io
https://www.nvidia.com/en-us/glossary/mixture-of-experts/
nvidia.com
https://github.com/NVIDIA/OpenShell
github.com
https://brev.nvidia.com/launchable/deploy/now?launchableID=env-3Azt0aYgVNFEuz7opyx3gscmowS
brev.nvidia.com
https://docs.vllm.ai/projects/recipes/en/latest/MiniMax/MiniMax-M2.html
docs.vllm.ai
https://docs.sglang.io/basic_usage/minimax_m2.html
docs.sglang.io
https://build.nvidia.com
build.nvidia.com
https://build.nvidia.com/minimaxai/minimax-m2.7
build.nvidia.com
https://catalog.ngc.nvidia.com/orgs/nim/teams/minimax-ai/containers/minimax-m27
catalog.ngc.nvidia.com
https://github.com/NVIDIA-NeMo/Automodel/blob/main/docs/model-coverage/llm/minimax/minimax-m2.md
github.com
https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/minimax_m2/minimax_m2.7_hellaswag_pp.yaml
github.com
https://github.com/NVIDIA-NeMo/RL/tree/minimax-m2
github.com
https://github.com/NVIDIA-NeMo/RL/blob/minimax-m2/examples/configs/recipes/llm/grpo-minimax-m2-dapo-8n8g-automodel-ep64.yaml
github.com
https://github.com/NVIDIA-NeMo/RL/blob/minimax-m2/examples/configs/recipes/llm/grpo-minimax-m2-dapo-16k-8n8g-automodel-ep64cp8.yaml
github.com
https://github.com/NVIDIA-NeMo/RL/issues/2251
github.com
https://huggingface.co/minimaxai/minimax-m2.7
huggingface.co
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