Server for DeepSeek
Local infrastructure for inference and enterprise use of DeepSeek-class models.
What it is
DeepSeek includes large MoE models (V3, R1) as well as distilled versions (1.5B – 70B). The large variants require multi-GPU configurations; the distilled ones fit on a standard server. We size infrastructure for the variant you actually need.
When it fits
- Reasoning tasks and complex analysis
- Coding assistant for a team
- Tasks requiring high Russian quality
- Local inference with long context
What to keep in mind
- Large variants demand serious multi-GPU infrastructure
- Distilled versions differ noticeably in quality from the original
- MoE inference requires proper routing
- Reasoning models generate more tokens — that affects latency and cost
Frequent questions
Can DeepSeek R1 run locally?+
The original R1 requires a multi-GPU configuration. Distilled versions (1.5B – 70B) run on a single GPU but differ in quality. We select the variant for your task.
Minimum hardware for DeepSeek?+
Distilled models are fine on 24–48 GB of VRAM. For V3 or R1 you need a multi-GPU configuration with hundreds of GB of aggregate memory.
Is DeepSeek good in Russian?+
Yes — DeepSeek performs strongly in Russian, especially the reasoning variants. For specific tasks we test on your own data.
Let’s discuss your task
Tell us what the AI contour needs to solve — we will match the configuration, infrastructure and next step.