DeepSeek R1 is an open-source AI model developed by DeepSeek. It can be deployed on-premises with the right GPU hardware for private, secure AI inference.

How much VRAM does DeepSeek R1 require?

VRAM requirements for DeepSeek R1 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 DeepSeek R1 locally?

Yes. DeepSeek R1 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 DeepSeek R1?

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 DeepSeek R1?

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 DeepSeek R1 deployment needs.

Open-Source AI Model

DeepSeek R1

Developed by DeepSeek

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

Key Capabilities

Step-by-step reasoning and chain-of-thought problem solving
Matches o1-level performance on math and coding benchmarks
Self-verification and error correction during reasoning
Distilled versions available for smaller hardware
MIT license for unrestricted commercial use

VRAM Requirements by Quantization

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

Model / Quantization	VRAM Required
7B distill FP16	14GB
32B distill FP16	64GB
70B distill FP16	140GB
671B full FP16	1.3TB+

Use Cases

DeepSeek R1 (671B total (37B active via MoE), distilled variants: 1.5B, 7B, 8B, 14B, 32B, 70B) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: MIT License.

Defense contractors: Section 1532 of the FY2026 NDAA (Public Law 119-60) bars contractors from using AI developed by DeepSeek or High Flyer in the performance of a Department of Defense contract, effective January 17, 2026, and the enacted text has no exemption for models run on your own hardware. Read DeepSeek and the FY2026 NDAA: what DoD contractors need to know, and see the American open-weight alternatives we recommend: Gemma 4 and GPT-OSS 20B and 120B.

Run DeepSeek R1 with Petronella

Petronella deploys DeepSeek R1 for enterprises needing o1-class reasoning without cloud API costs. Distilled variants run on a single GPU; full model on DGX infrastructure. MIT licensed, no strings attached.

Recommended Hardware

Model Size	Recommended GPU
7B distill	RTX 5080 (16GB)
32B distill	RTX 5090 (32GB) or RTX PRO 5000 (48GB)
70B distill	RTX PRO 6000 Blackwell (96GB)
671B full	DGX B300 or multi-node cluster

Deploy DeepSeek R1 On-Premises

Our team builds GPU-accelerated systems configured and optimized for DeepSeek R1. Private, secure, and fully under your control.

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