Command R+ is an open-source AI model developed by Cohere. It can be deployed on-premises with the right GPU hardware for private, secure AI inference.

How much VRAM does Command R+ require?

VRAM requirements for Command R+ depend on the quantization level. Full-precision models need more VRAM, while quantized versions (Q4, Q5, Q8) can run on consumer GPUs. See our VRAM requirements table for specific recommendations.

Can I run Command R+ locally?

Yes. Command R+ can be run locally using frameworks like Ollama or vLLM. Petronella Technology Group builds GPU-accelerated workstations and servers optimized for local AI model deployment.

What GPU do I need for Command R+?

The recommended GPU depends on the model size and quantization. For smaller quantized versions, an AMD Radeon or NVIDIA RTX GPU with 16-24 GB VRAM may suffice. For full-precision or larger variants, enterprise GPUs like the AMD Instinct MI300X or NVIDIA A100 are recommended.

Does Petronella help deploy Command R+?

Yes. Petronella Technology Group provides end-to-end AI deployment services including hardware selection, system configuration, model optimization, and ongoing support. Contact us to discuss your Command R+ deployment needs.

Open-Source AI Model

Command R+

Name: Command R+
Author: Cohere

Developed by Cohere

Local AI Deployment Experts 24+ Years IT Infrastructure GPU Hardware In Stock

Key Capabilities

Purpose-built for Retrieval Augmented Generation (RAG)
128K context window for processing large document sets
Grounded generation with source citations
10 languages with strong multilingual support
Tool use and multi-step agentic workflows

VRAM Requirements by Quantization

Choose the right GPU based on your performance and quality needs.

Model / Quantization	VRAM Required
FP16	208GB
Q4	60GB

Use Cases

Command R+ (104B) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: CC-BY-NC-4.0 (non-commercial) / Cohere commercial license.

Run Command R+ with Petronella

PTG deploys Command R+ for enterprises building RAG-powered knowledge systems. Ideal for law firms, consulting companies, and compliance-driven organizations needing cited, grounded AI responses.

Recommended Hardware

Model Size	Recommended GPU
FP16	2x RTX PRO 6000 Blackwell (192GB) or DGX Spark (128GB q4)
Q4	RTX PRO 6000 Blackwell (96GB)

Deploy Command R+ On-Premises

Our team builds GPU-accelerated systems configured and optimized for Command R+. Private, secure, and fully under your control.

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Command R+

⚡Key Capabilities

📌VRAM Requirements by Quantization

🚀Use Cases