Enterprise AI Server
Multi-GPU infrastructure for the largest models, intensive inference and enterprise-scale AI systems.
What it is
An Enterprise AI Server built on NVIDIA H200 is a multi-GPU machine with 141 GB HBM3e per card and NVLink. It is intended for scenarios where a single GPU is not enough: the largest open-weight models, reasoning workloads, high concurrency and multi-tenant enterprise AI.
When it fits
- The largest open-weight models (400B+)
- Reasoning workloads and long contexts
- Intensive concurrent inference
- Enterprise AI contour across multiple departments
What to keep in mind
- A serious investment — justified only for specific tasks
- Requires data-centre conditions: power, cooling, weight, acoustics
- For most SMB workloads, L40S or RTX PRO is more efficient
- Real value appears at scale and under specialised loads
Frequent questions
Do we need H200 for RAG?+
In most cases, no. RAG runs well on L40S or RTX PRO. H200 is justified when large models, long contexts and high concurrency are required at the same time.
How much does an H200 AI Server cost?+
Cost depends on GPU count, memory, chassis and runtime. Typically a project from several million roubles. We size it after workload analysis — we do not sell “just a server”.
Can we start with one H200 and scale?+
Yes. We design the chassis and infrastructure with headroom. You can start with one GPU and add cards as the workload grows.
Let’s discuss your task
Tell us what the AI contour needs to solve — we will match the configuration, infrastructure and next step.