The Unified Workspace for Sovereign AI & Science
Blind Confidence in Cloud is Over
Retain control. Collaborate globally. Managed in the Cloud or Self-Hosted.
A unified environment for Code, Data and Compute, deployable on any
infrastructure, from bare metal to the public cloud.
Used by 65+ Universities, National Banks and Research Institutions
to run reproducible research under full digital sovereignty.
Built on open-source infrastructure. Not tied to any single cloud.
Bare-metal, decoupled from hyperscalers
GPU capacity can sit on institutional hardware, a national research network, or a public cloud. The workspace layer stays identical regardless of where compute runs.
Fractional GPU sharing, across locations
A single GPU can be partitioned across multiple concurrent student workloads, each with its own memory and compute cap. Compute can be drawn from nodes in different geographic locations, without changing how students access their environment.
Per-user quotas. Portable at project end.
Each workspace has a hard resource cap with auto-stop. At project end, users export their full environment as a Docker image, independent of the infrastructure it ran on.
Your Research. Anywhere. Anytime. Always Yours.
Nuvolos gives researchers the freedom to collaborate globally while retaining full ownership of their work. Your research moves with you, reproduces reliably, and remains entirely yours.
Portability
Your entire environment travels with you across devices, institutions, and infrastructure. No lock-in. Ever.
Collaboration
Share your complete workspace with others. Everyone starts from the same, reproducible state.
Reproducibility
Every result can be replicated. Snapshot your work, track changes, and ensure findings stand the test of time.
Sovereignty
Your data. Your infrastructure. Your rules. Nothing leaves your control unless you choose to share it.
Don't Just Use AI.Own It.
79% of global leaders now prioritize Sovereign AI.
Why?
Because renting your intelligence from a “black box”
provider is a strategic risk.
The Consequence. You must own your data, your models,
and your infrastructure.
Nuvolos is the Operating System for Science
The Replication Layer
Complete control, total portability. Run your environment anywhere, no changes required. Standards-based by design.
Hybrid “Bursting“
Run core workloads on sovereign bare metal and burst to public or private clouds only when necessary.
Audit-Ready Snapshots
Full-stack capture (OS + Code + Data + Results) for regulatory transparency and explainable science.
Data-Agnostic Core
Handle any data type seamlessly, structured or unstructured.
Browser-Based Sovereignty
High-performance compute in the browser; data never touches the endpoint device.
Familiar Workspace
Your familiar tools, ready when you are. Work in the browser with the applications you already know and use.
Unified Computational Workspace
Your IDE. Run the full ecosystem of scientific and anayltical tools, JupyterLab, RStudio, VSCode, MATLAB, Python, Julia, Stata, domain-specific apps, and more, all inisde pre-configured, reproducible environments that work the same across cloud, on-prem, and HPC.
Nuvolos brings, code, data, dependencies, results and compute, together in one versioned workspace, complementing GitHub with full environment reproducibility and governed, scalable compute.
The Outcome: researchers, instructors and editors get seamless, ready-to-use environment setup, configuration drift and infrastructure overhead.
Use Cases Where Nuvolos Advances Research and Discovery
Nuvolos enables secure collaboration across academia and regulated industries, with full control over compute, cost, and reproducibility.
Scientific Research
Researchers waste weeks on DevOps and struggle with reproducibility in fragmented environments.
Frankfurt University Hospital uses Nuvolos to process sensitive patient data for psychiatric research, unifying wet lab data with Python/R analysis in a secure, compliant environment.
Qanatpharma, a biotech company, accelerated AI-driven drug discovery using our GPU-ready reproducible platform.
Education in Computational Subjects
Complex setup requirements ("dependency hell") exclude students from advanced computational subjects.
University of Lausanne and the Geneva Finance Research Institute use Nuvolos to distribute pre-configured environments. Educators push assignments to students instantly, allowing them to focus on the science, not the installation.
Data Editors, Reviewers & Scientific Journals
Peer review is broken. Verifying code and data is often impossible due to missing dependencies and proprietary HPC requirements.
The Economic Journal leveraged Nuvolos to successfully reproduce results from a conditionally accepted paper. The data editor's team used our platform to manage a complex, multi-language (Stata/Python) environment without needing access to the author's original infrastructure.
Regulated Industries & Economic Policy
Central banks and policy institutions must analyze complex macroeconomic models (DSGE) to guide monetary policy. These workflows demand absolute reproducibility and security, which standard commercial clouds often fail to provide under strict sovereignty laws.
The Dynare project, a standard platform used by the European Central Bank, Banque de France, and Swiss National Bank, found a "safe harbour" in Nuvolos. Hosted on Nuvolos sovereign infrastructure, reproducible numerical libraries enable economists to collaboratively develop models for inflation, fiscal policy and CBDCs while ensuring sensitive economic data remains fully under institutional control.
Your Research. Your Data. Your AI.
Start your sovereign journey now.
Get in TouchReal Stories. Proven Results.
Reproducing a Computationally Complex Study for The Economic Journal with Nuvolos
Nuvolos enabled the successful reproducibility of a computationally intensive economics study for The Economic Journal. By providing a shared, versioned environment across languages and systems, it eliminated infrastructure barriers and allowed geographically distributed collaborators to validate results efficiently — supporting reproducibility at a standard expected by leading academic journals.
Reproducible Numerical Libraries: Dynare on Nuvolos
Dynare, the open-source workhorse for macroeconomic modeling, has long run on MATLAB/Octave. A team of RSEs extended it into Julia and Python, reproducibly on Nuvolos. This case study shows how one shared environment simplified development, testing, and release, making complex cross-language workflows easier to build, share, and validate.
How Qanatpharma Accelerated AI-Powered Drug Discovery with Nuvolos
Qanatpharma accelerated its AI-driven drug discovery by moving to Nuvolos’ GPU-ready, reproducible research platform. With on-demand compute and versioned environments, the team deployed models in hours instead of days, tested hypotheses faster, and collaborated seamlessly across locations, significantly speeding up target validation and early discovery.
Nuvolos streamlines the whole workflow at the University Clinic Frankfurt
For the Chiochetti lab, Nuvolos has been a game-changer. Thanks to Nuvolos, Chiochetti and his team can work across tech stacks and coordinate on their research in a fast and intuitive manner, freeing up time and capacity for doing more sophisticated research work as a whole team.
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“It was like my replicator had brought his laptop into my office—except that he didn’t actually have to come and we didn’t have to block his machine, instead we could both work live next to each other on the same system, each in his own web browser...”
Florian Oswald
Associate Professor at University of Turin & RES Data Editor, The Economic Journal
Trusted By & In Deployment With
Frequently Asked Questions
How does Nuvolos ensure full reproducibility for computational research?
Nuvolos captures code, data, tools, dependencies, configuration, and results in a single versioned workspace. At any point in time, the project's state is saved as a snapshot. This feature enables reproducibility for collaborators, reviewers, and data editors long after the original analysis.
Can Nuvolos support large, complex computational and data-driven research projects (HPC-scale, multi-team)?
Yes. Nuvolos provides HPC-scale compute (hundreds of vCPU, TBs of RAM + GPUs), multi-team collaboration, complete versioning for reproducibility, real-time resource monitoring, and flexible budget management through resource pools—all self-service, without DevOps expertise.
How does Nuvolos support data sovereignty?
Institutions choose where data is stored and processed, including EU-specific or country-specific regions or institution-controlled cloud tenancies.
What’s proprietary about Nuvolos?
Nuvolos’ core innovation is its environment model: fully snapshot-able workspaces that bundle code, data, tools, and compute; scalable distribution for teaching; and deep integration with institutional infrastructure. This goes beyond conventional notebook services or generic cloud VMs.
Can I use my existing licensed software (MATLAB, COMSOL, ArcGIS, etc.) in Nuvolos?
Yes. Nuvolos supports Bring Your Own License (BYOL), allowing institutions to use their existing software licenses within Nuvolos workspaces. Licensed applications run inside the same reproducible environment as open-source tools, so code, data, and licensed software are versioned together.