Any Python version
Use pyenv or deadsnakes to install Python 3.9, 3.10, 3.11, 3.12, or any version. Multiple environments with venv or conda.
PYTHON VPS · INDIA · DELHI DC
Python VPS in India for Django, Flask and FastAPI.
Run Python web frameworks, data pipelines, ML inference, or automation scripts on a dedicated VPS in Delhi. Full root access. No restrictions on Python version or libraries.
Deploy nowGunicorn + Nginx + Systemd
The classic Python production stack. Configure Gunicorn workers, Nginx reverse proxy, and systemd service management without restrictions.
ML and data workloads
AMD EPYC CPUs handle ML inference and data processing efficiently. Run scikit-learn, pandas, or lightweight PyTorch models.
DDoS protection included
Your Python API or web app is protected at the network level before requests reach Gunicorn.
India-based latency
Low latency from Delhi DC for Indian API consumers. Faster response times, better SLAs.
INR billing · GST invoice
No dollar exposure. Pay in rupees and claim GST input tax credit.
Choose a plan
All prices exclude 18% GST · Delhi DC · AMD EPYC
Nano
₹949/mo
+ 18% GST at checkout
- 2 vCores
- 4GB RAM
- 40GB NVMe SSD
- 1 Gbps port speed
- DDoS protection included
- KVM virtualisation
- Full root access
Starter
₹1,799/mo
+ 18% GST at checkout
- 4 vCores
- 8GB RAM
- 80GB NVMe SSD
- 1 Gbps port speed
- DDoS protection included
- KVM virtualisation
- Full root access
Most Popular
Standard
₹3,099/mo
+ 18% GST at checkout
- 6 vCores
- 16GB RAM
- 120GB NVMe SSD
- 1 Gbps port speed
- DDoS protection included
- KVM virtualisation
- Full root access
Pro
₹5,399/mo
+ 18% GST at checkout
- 8 vCores
- 32GB RAM
- 200GB NVMe SSD
- 1 Gbps port speed
- DDoS protection included
- KVM virtualisation
- Full root access
Ultra
₹9,499/mo
+ 18% GST at checkout
- 16 vCores
- 64GB RAM
- 400GB NVMe SSD
- 1 Gbps port speed
- DDoS protection included
- KVM virtualisation
- Full root access
Frequently asked questions
Can I run Celery and Redis on the same VPS?
Yes. On a Starter or Standard plan, you can run Gunicorn, Celery workers, and Redis on the same server for cost efficiency. Separate them as you scale.
Is there a memory limit for Python processes?
No artificial limits. Your Python process can use all available RAM in your plan. Choose a plan with sufficient RAM for your workload.