FrontierThe story, in brief
Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
218B parameters. Two H100s. Cohere just made enterprise agentic AI radically cheaper to deploy.
The KeyNews take
Why it matters
Cohere's Command A+ consolidates four models into one sparse MoE that dramatically reduces compute requirements for agentic workflows, challenging the inference cost economics that have favored smaller closed models. This is a direct shot at deployment efficiency—the real bottleneck for enterprises scaling AI agents.
The key facts
7 to know218B parameter Sparse Mixture-of-Experts model
Runs on as few as two H100 GPUs at W4A4 quantization
Consolidates four prior Command A variants into single model
First multimodal reasoning model from Cohere
Supports 48 languages
Open-source release
Designed for agentic workflows
Go to the source
MarkTechPostmarktechpost.com
Publisher excerpt: Cohere releases Command A+, an open-source 218B Sparse Mixture-of-Experts model consolidating four prior Command A variants into one. It runs on as few as two H100 GPUs at W4A4 quantization, supports 48 languages, and is Cohere's first multimodal reasoning model.