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

How much VRAM does SOLAR require?

VRAM requirements for SOLAR 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 SOLAR locally?

Yes. SOLAR 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 SOLAR?

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 SOLAR?

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 SOLAR deployment needs.

Open-Source AI Model

SOLAR

Name: SOLAR
Author: Upstage

Developed by Upstage

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

Key Capabilities

Depth Up-Scaling: novel architecture that grows model depth efficiently
Strong instruction following and reasoning
Competitive with 30B+ models at 10.7B parameters
Apache 2.0 for unrestricted commercial use
Korean and English bilingual capabilities

VRAM Requirements by Quantization

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

Model / Quantization	VRAM Required
FP16	22GB
Q4	7GB

Use Cases

SOLAR (10.7B) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: Apache 2.0.

Run SOLAR with Petronella

PTG deploys SOLAR for businesses needing efficient AI that punches above its weight class. Its novel DUS architecture delivers 30B-class performance at 10.7B parameter cost. Great for Korean-English bilingual needs.

Recommended Hardware

Model Size	Recommended GPU
FP16	RTX PRO 4000 (24GB) or RTX 5090 (32GB)
Q4	RTX 5080 (16GB)

Deploy SOLAR On-Premises

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

Talk to an AI Infrastructure Expert Browse AI Hardware

SOLAR

⚡Key Capabilities

📌VRAM Requirements by Quantization

🚀Use Cases