Data analysis on remote data
When your dataset is 50 GB and your laptop has 16 GB RAM. Spin up a 32 GB VPS, scp the data, work over JupyterLab. Tear down when done.
Jupyter Notebook VPS Hosting
Jupyter, in the cloud.
Run notebooks from any browser.
JupyterLab on AMD EPYC and pure NVMe, in any region.
Independent since 2008. SSH, conda, pip, GPU-ready, your own kernels.
From $7.48/mo · 50% off · No credit card required
~ ssh root@vps-fra-001
connected
root@vps-fra-001:~# conda install -c conda-forge jupyterlab
Solving environment ... done.
Installed 245 packages successfully.
root@vps-fra-001:~# jupyter lab --no-browser --port=8888 --ip=0.0.0.0
Jupyter Server 2.x is running at:
http://0.0.0.0:8888/lab?token=********
root@vps-fra-001:~# systemctl enable jupyterlab
Created symlink /etc/systemd/system/jupyterlab.service.
root@vps-fra-001:~# _
Jupyter VPS at a glance
Cloudzy hosts Jupyter Notebook VPS instances from 12 regions worldwide, starting at $7.48 / month. Each VPS runs on AMD EPYC with DDR5 memory, NVMe storage, and a 40 Gbps uplink. Run JupyterLab or classic Jupyter behind Nginx with free TLS. GPU plans available for ML training. Cloudzy has been independent since 2008, serves 122,000+ developers, and is rated 4.6/5 by 679+ reviewers on Trustpilot.
- Starting price
- $7.48 / month
- Provisioning
- 60 seconds
- Regions
- 12 worldwide
- Uptime SLA
- 99.95%
- Money-back
- 14 days
- Founded
- 2008
Why builders pick Cloudzy
A Jupyter host that doesn't kick you off mid-cell.
NVMe + DDR5
Pure NVMe storage and DDR5 memory on AMD EPYC. Workloads stay fast under load.
Root SSH access
Full control of your stack. Install packages, tune configs, run cron jobs, deploy via git. No restrictions.
12 regions
Deploy as close to your users as physics allows. Median P50 latency under 10 ms in NA/EU.
Real human support
Chat with engineers who know your stack, not script-readers. Median resolution under 1 hour.
Stack you'll run
Every Jupyter dependency.
conda + pip ready.
Modern Python via conda/miniconda, JupyterLab, classic Notebook, plus Nginx for TLS termination. Add CUDA images on GPU plans.
One-click marketplace images on every plan
JupyterLab
Latest stable
Notebook
Classic interface
Python 3.12
Via conda or apt
conda
Env + package manager
pip
Standard PyPI installer
JupyterHub
Multi-user mode
CUDA
GPU acceleration (GPU plans)
Nginx
TLS reverse proxy
Use cases
Real Jupyter workloads
that need a real VPS.
ML model training
GPU plans with CUDA pre-installed give you A100 or RTX 5090 firepower for training. JupyterLab + PyTorch in your browser, no Colab limits.
Long-running computations
Some experiments run for days. Fire-and-forget on a Cloudzy VPS - no laptop sleep, no broken kernel, no cap on session length.
Team collaboration via JupyterHub
JupyterHub on the 12 GB plan lets your team share kernels and data without emailing notebooks around. Each user gets isolated workdirs.
Teaching / workshops
Spin up matching Jupyter environments for a workshop. Hourly billing means you only pay for the actual session hours.
API + notebook combo
Develop a model in Jupyter, expose the trained version as a Flask/FastAPI endpoint on the same VPS. One box, two endpoints.
60s
Provisioning
40 Gbps
Uplink
NVMe-only
Storage
12
Regions
99.95%
Uptime SLA
14 days
Money-back
Global network
12 regions. Four continents.
One click away.
Drop your Jupyter VPS as close to your users as physics allows.
us-utah-1us-dal-1us-lax-1us-nyc-1us-mia-1eu-ams-1eu-lon-1eu-fra-1eu-zrh-1me-dxb-1ap-sgp-1ap-tyo-1
Pricing
Pay for what you use. That's it.
Hourly, monthly, or yearly. Currently 50% off all plans.
1 GB DDR5
Light · Personal use
$3.48 /mo
$6.95/mo −50%
Deploy now
14-day money-back
- 1 vCPU @ EPYC
- 25 GB NVMe
- 1 TB · 40 Gbps
- Dedicated IPv4 + IPv6
- Root SSH · KVM
2 GB DDR5
Production · Small team
$7.475 /mo
$14.95/mo −50%
Deploy now
14-day money-back
- 1 vCPU @ EPYC
- 60 GB NVMe
- 3 TB · 40 Gbps
- Dedicated IPv4 + IPv6
- Root SSH · KVM
Most popular
4 GB DDR5
Production · Multi-site
$14.47 /mo
$28.95/mo −50%
Deploy now
14-day money-back
- 2 vCPU @ EPYC
- 120 GB NVMe
- 5 TB · 40 Gbps
- Dedicated IPv4 + IPv6
- Root SSH · KVM
8 GB DDR5
Heavy workloads
$26.475 /mo
$52.95/mo −50%
Deploy now
14-day money-back
- 4 vCPU @ EPYC
- 240 GB NVMe
- 7 TB · 40 Gbps
- Dedicated IPv4 + IPv6
- Root SSH · KVM
FAQ. Jupyter VPS
Common questions, straight answers.
What is a Jupyter Notebook VPS?
A Jupyter Notebook VPS is a virtual private server where you run JupyterLab or classic Jupyter Notebook over a TLS-secured URL. You access it from any browser, you keep root SSH for kernel management, and you tear it down when the project ends.
How do I install Jupyter?
Install miniconda, then `conda install -c conda-forge jupyterlab`. Configure a Nginx reverse proxy with Certbot TLS, set a notebook password, point your DNS at the VPS. End-to-end takes about 20 minutes.
Can I run JupyterHub for a team?
Yes. JupyterHub installs cleanly on the 8-12 GB plans. Each user gets a single-user Jupyter server. Pair with PAM or OAuth for authentication. Most teams use the standard tljh (The Littlest JupyterHub) installer.
What about GPU acceleration for ML?
Pick a Premium GPU plan instead of regular CPU. Cloudzy GPU plans include Nvidia A100, RTX 5090, and RTX 4090 with CUDA pre-installed. Run PyTorch, TensorFlow, or JAX directly in your notebooks.
Is there a way to access notebooks without TLS?
Yes - SSH tunnel: `ssh -L 8888:localhost:8888 root@your-vps`, then open localhost:8888 in your browser. Skip the Nginx + TLS setup entirely if you only need solo access.
Will my notebooks survive a reboot?
Yes. Notebooks live on disk - reboots don't erase them. Run JupyterLab as a systemd service so it auto-starts. Snapshot the VPS for extra safety.
How much RAM should I pick?
Depends on dataset size. 2 GB for tutorials, 4-8 GB for typical pandas + scikit-learn work, 16-32 GB for large dataframes or deep learning on CPU. GPU plans for actual training.
Is there a money-back guarantee?
Yes - 14 days, full refund, no questions asked. Cancel from the panel anytime in the first two weeks.
Ready when you are.
Jupyter VPS in 60 seconds.
Pick a region, click deploy. We'll have you working before lunch.
No credit card required · 14-day money-back guarantee · Cancel anytime