RS 4000 vGPU 14 iv

Our new vGPU products are a variation of our popular root servers with high-quality hardware, but in this version they also offer dedicated GPU resources in addition to guaranteed CPU performance. This makes these products particularly suitable for computing-intensive workloads such as for example AI inference, video encoding or data analysis.

The best price and satisfaction guarantee does not apply to these products.

Nvidia drivers are not publicly available and officially only support Ubuntu, so we currently only offer an Ubuntu image for vGPU Server.

We have tested the new servers for running a selection of compact open-source language models from various architectures. Below is a list of LLMs that are compatible with the specified server plans.

RS 2000 vGPU 7 + RS 4000 vGPU 14

• llama3.2:1b
• llama3.2:3b
• llama3.1:8b
• mistral:7b
• gemma3:1b
• gemma3:4b
• phi3:3.8b
• deepseek-r1:1.5b
• deepseek-r1:7b
• deepseek-r1:8b
• qwen2.5:0.5b
• qwen2.5:1.5b
• qwen2.5:3b
• qwen2.5:7b
• qwen2.5-coder:0.5b
• qwen2.5-coder:1.5b
• qwen2.5-coder:3b
• qwen2.5-coder:7b
• qwen:0.5b
• qwen:1.8b
• qwen:4b
• qwen:7b
• gemma:2b
• gemma:7b
• qwen2:0.5b
• qwen2:1.5b
• qwen2:7b
• gemma2:2b
• llama2:7b
• tinyllama:1.1b
• starcoder2:3b
• starcoder2:7b
• dolphin3:8b

RS 4000 vGPU 14

• gemma3:12b
• deepseek-r1:14b
• phi4:14b
• qwen2.5:14b
• qwen2.5-coder:14b
• qwen:14b
• llama2:13b
• phi3:14b
• mistral-nemo:12b
• starcoder2:15b