AI Servers for Machine Learning & High-Performance Computing
Deploy production-ready AI infrastructure in minutes. Dedicated GPU servers optimized for deep learning, large language models, and compute-intensive workloads.
Full access to dedicated NVIDIA GPU resources. No noisy neighbors, no performance degradation. Your workload gets 100% of the GPU power.
ML-ready software stack
Pre-installed CUDA, cuDNN, PyTorch, TensorFlow, and JAX. Start training immediately without spending hours on environment setup.
Enterprise-grade reliability
Tier 3+ data centers with redundant power, network, and cooling. 99.95% uptime SLA and 24/7 monitoring.
Performance-focused architecture
NVMe storage, 10 Gbps network, latest AMD EPYC/Intel Xeon processors. Every component optimized for AI workloads.
Professional GPUs for AI and ML
We only provide dedicated GPU accelerators of the latest generation. Without virtualization, without resource sharing, the full power of the graphics card is at your disposal.
NVIDIA RTX 4090
16 384
CUDA cores
24 ГБ GDDR6X
VRAM
82.6 TFLOPS
FP32 Performance
It is ideal for deep learning, computer vision, NLP. Excellent price/performance ratio for research and prototyping.
NVIDIA RTX A5000
8 192
CUDA cores
24 ГБ GDDR6X
VRAM
27.8 TFLOPS
FP32 Performance
A professional series for production. Stability, certified drivers, ECC memory for critical computing.
NVIDIA RTX 4090 (soon)
6 912
CUDA cores
40/80 ГБ HBM2e
VRAM
19.5 TFLOPS
FP32 Performance
GPU data center for large-scale projects. Multi-Instance GPU, 3rd generation Tensor Cores, up to 2 TB/s of memory bandwidth.
NVIDIA H100 (soon)
16 896
CUDA cores
80 ГБ HBM3
VRAM
60 TFLOPS
FP32 Performance
Flagship GPU for LLM and generative AI. Transformer Engine, up to 4.9 PetaFLOPS for FP8. Maximum performance for GPT-like models.
Dedicated GPUs without sharing
All GPUs are provided in the passthrough mode — without virtualization and separation. You get full access to hardware, native NVIDIA drivers, maximum performance and stability. No "neighbors" or speed drawdowns.
Ready-made development environment for AI/ML
Don't waste time setting up your environment. All popular frameworks and tools are already pre-configured and ready to work.
CUDA 12.x and cuDNN are the latest stable versions
PyTorch, TensorFlow, JAX — ready-made images\
Jupyter Lab, VS Code Server — convenient browser operation
Docker, Kubernetes — containerization and orchestration
MLflow, Weights & Biases — experiments and metrics
Fast.ai Hugging Face Transformers — ready-made libraries
# Quick start ssh user@your-ai- server
# nvidia-smi GPU check
# Jupyter jupyter lab launch — ip=0.0.0.0
# Training the python model train.py \ –model resnet50 \
Full root access, the ability to install any packages, ready-made images with pre-installed dependencies.
Cloud servers for different business tasks
NVMe SSD Enterprise
Sequential read speed up to 7000 MB/s, IOPS up to 1 million. Fast download of datasets, instant access to large amounts of data.
10 Gbit/s network
Dedicated 10 Gbit/s channel, unlimited traffic. Low latency for distributed learning and large file transfer.
99.9% Uptime
SLA-guarantee of availability
< 5 ms
Delay inside the data center
DDoS protection
Up to 1 Tbit/s enabled
Tariffs for AI servers
Select the configuration for your task. All tariffs include a dedicated GPU, NVMe SSD, unlimited traffic and 24/7 technical support.
