Hosting for data science
Run machine learning and data science workloads on managed, GPU-ready infrastructure. Deploy JupyterHub, training frameworks, and labelling tools in minutes, without wrangling CUDA or building your own ML platform.
On-Premise
The data science hosting challenge
Why data science teams need better hosting
Generic hosting was not built for data science requirements.
GPU setup is painful
CUDA, drivers, and framework versions break constantly. Getting a reproducible ML environment eats days.
Notebooks need real compute
Local machines run out of memory and GPU. Teams need shared, scalable notebook infrastructure.
No platform team
Data scientists should build models, not maintain the ML platform, patch servers, or manage backups.
Data Science on Elestio
A managed platform, not just a VM
The managed layer handles security and operations so your team ships faster.
GPU-ready VMs
Dedicated GPU virtual machines with drivers and runtimes preconfigured, ready for training and inference.
Managed JupyterHub
Give your team shared, scalable notebook environments without building the platform yourself.
Zero maintenance
Elestio manages updates, patches, SSL, backups, and monitoring, so scientists stay in the notebook.
Data and pipelines
Managed databases and workflow tools alongside your compute, on a private encrypted network.
Popular stacks
Open-source apps for data science
Deploy the tools your team relies on, all fully managed.
JupyterHub
Managed, multi-user notebooks with GPU options, for teams doing analysis and model development.
TensorFlow and PyTorch
Run training frameworks on dedicated GPU VMs with no manual CUDA or dependency setup.
Label Studio
Self-hosted data labelling for building and refining training datasets, on infrastructure you control.
ML infrastructure without the ops
Managed, dedicated, deploy in minutes. Free trial, no credit card.
Reviews
Trusted by 10,000+ Developers Worldwide
Real reviews from real users on Trustpilot.
"I'm in the IT industry for over 25 years and Elestio stands out in many ways. The managed services are top-notch, support is incredibly fast, and the platform just works. Couldn't be better!"
FAQ
Frequently Asked Questions
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Do you offer GPU for machine learning?
Yes. Elestio provides dedicated GPU VMs with drivers and runtimes preconfigured, so you can run training and inference without setting up CUDA yourself.
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Can I host JupyterHub for my team?
Yes. Deploy managed, multi-user JupyterHub with GPU options, so your team gets shared notebook environments without building the platform.
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Which ML tools can I run?
JupyterHub, TensorFlow, PyTorch, Label Studio, and any of 400+ open-source apps, all fully managed.
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Who maintains the infrastructure?
Elestio manages updates, patches, SSL, backups, and monitoring, so data scientists focus on models, not ops.
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How is pricing structured?
Fixed monthly pricing per VM, with transparent GPU tiers, instead of unpredictable usage billing.
ML infrastructure without the ops
Managed hosting for data science from $11/mo. Free trial, no credit card required.
Deploy in minutes