Entry level
Tesla P4 8GB
3 990 ₽/mo
- vCPU:8 cores
- RAM:32 GB DDR4
- Storage:100 GB NVMe
- GPU Memory:8 GB GDDR5
- TFLOPS:5.5
Ideal for:
- Model training
- Inference (predictions)
- Fine-tuning of small models
- ML experimentation
A fully functional infrastructure for model training, rendering, and distributed computing. Deployment in 5-10 minutes, 24/7 support, fast NVMe, and a ready-to-use ML environment.
Three ready-made configurations for different scenarios and budgets.
Best price/performance ratio
| Parameter | Tesla P4 | Tesla T4 ★ | Tesla V100 |
|---|---|---|---|
| Price/mo | 3 990 ₽ | 7 990 ₽ | 14 990 ₽ |
| GPU Memory | 8 GB | 16 GB | 32 GB |
| TFLOPS (FP32) | 5.5 | 8.1 | 14 |
| vCPU | 8 | 8 | 16 |
| RAM | 32 GB | 32 GB | 64 GB |
| NVMe Storage | 100 GB | 500 GB | 250 GB |
| Bandwidth | 192 GB/s | 320 GB/s | 900 GB/s |
| GPU memory type | GDDR5 | GDDR6 | HBM2 (fast) |
| TDP | 75W | 70W | 250W |
Recommended: GPU-T4
Training time: ~4 hours
Dataset: 10k samples
Cost: 1 330 ₽
Recommended: GPU-V100
Videos/day: 2000
Resolution: 4K
Framerate: 30fps
Recommended: GPU-P4/T4
Jupyter Notebooks
Pandas, NumPy, Scikit-learn
Rapid prototyping
Recommended: GPU-T4
RPS: 1000+
Latency: <100ms
Uptime: 99.9%
Free 2-day trial. Cancel at any time.
P4 — for experiments and small models; T4 — optimal for most ML tasks; V100 — For heavy computations and research. If in doubt, start with T4.
Yes, the servers are ready for work: CUDA Toolkit 12.x, cuDNN, PyTorch, TensorFlow 2.x, Jupyter Notebook, and Python 3.10+.
Yes, multi-GPU configurations are available upon request: 2x T4, 4x P4, and custom options tailored to your task.
Guarantee 99.9% uptime, regular backups, and 24/7 technical support.
Choose a plan, click "Order GPU", confirm your order, and receive your server in 5-10 minutes. A 2-day trial is available.
Start with a free 2-day trial. We will help you select a configuration tailored to your stack and workload.
📧 info@webstartechnology.ru
💬 Telegram: @flint911
📞 +7 (978) 757-0-999
We have been operating in the VPS/VPS hosting market since 2002, continuously growing and developing.
We respond to your requests 24/7, including weekends and holidays
