RS 4000 vGPU 14

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.

The vGPU servers are currently provided exclusively with an Ubuntu image. This is because the required NVIDIA drivers are not freely available and are officially supported primarily on Ubuntu. As a result, no alternative images are offered at this time, and the vGPU servers can only be operated with the supplied Ubuntu image.

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