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Deploy Long-Context Reasoning and Agentic Workflows with MiniMax M3 on NVIDIA Accelerated Infrastructure
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Deploy Long-Context Reasoning and Agentic Workflows with MiniMax M3 on NVIDIA Accelerated Infrastructure

NVIDIA Technical Blog·Anu Srivastava·2 days ago
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As enterprise AI adoption scales, developers are increasingly forced to stitch together fragmented pipelines—separate models for text, vision, and code—leading to added complexity, higher costs, and slower iteration.

MiniMax M3—available on NVIDIA accelerated infrastructure, including NVIDIA Blackwell—changes this by enabling a single multimodal system capable of long-context reasoning, agentic workflows, and creative tasks.

The 428B parameter MoE supports up to 1M tokens and native multimodal input. Developers can build applications like long video understanding, extended coding sessions (8+ hours), and high-quality design workflows—all with a unified model and production-ready deployment paths on NVIDIA platforms.

Name MiniMax M3

Input modalities Video, image, text

Total parameters 428B

Visual encoder parameters 600M

Active parameters 22B

Context length 1M

Experts Total 128, 4 experts activated per token

Precision format BF16, MXFP8

Table 1.…

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