Sovereign AI.
Real power.
Total control.
Sovereign AI platform with real isolation, open-source models and cutting-edge GPUs. For teams that need enterprise performance without compromising compliance.
100%
Data on Spanish soil
ISO 27001
+ ENS Media certified
< 24h
From request to production
< 1.2 PUE
Liquid cooling, sustainable AI
Certified
ENS Categoría Media
RD 311/2022 · PDF
ISO 27001
EQA · PDF
Why us
Why companies serious about AI choose us
Real sovereignty, not marketing
Your data never crosses borders. Your environment is isolated at VM level, not container level. You comply with GDPR, ENS and NIS2 because your infrastructure is in Spain, operated by a Spanish company.
Enterprise performance, no compromises
Cutting-edge GPUs with low-latency interconnects. Your models train faster and your inference responds in milliseconds. No bottlenecks, no noisy neighbors.
Storage that keeps up with your models
High-performance parallel filesystem. Your checkpoints, datasets and artifacts always at the speed your workload needs. Persistent and encrypted.
Certifications your CISO needs
ISO 27001. ENS Media. Tier 3 datacenter in Madrid. Auditable. Not a rack in a colocation — enterprise infrastructure with every guarantee compliance will ask for.
Truly sustainable AI
Direct liquid cooling on every GPU. PUE below 1.2. Active research with the University of Granada. Because performance and responsibility are not incompatible.
Your environment, your rules
From a coding assistant for 5 people to a dedicated training cluster. Full or fractional GPUs. Private network, secure direct access, native Kubernetes. Everything tailored.
How it works
How it works
From request to production faster than your CISO takes to approve an American vendor.
Your environment. Your team.
A private AI space for your whole team.
Not just GPU access. It's your sovereign development studio — a shared workspace with IDE, projects, per-user permissions, private endpoints, and your own VPN. All running on your B200 slice in Madrid.
Browser IDE + terminal
Code-server or JupyterHub for GUI folks, SSH with user key for terminal folks. Same environment, two doors.
Shared projects, private folders
Structure per project over Exascaler HPC. Each dev has /home, the team shares /projects. Native POSIX permissions.
Roles and per-user permissions
Admin, dev, viewer. Granular control over who sees which project, who deploys models, who only consumes endpoints.
Your network, your VPN, your firewall
Dedicated VLAN per customer, WireGuard or OpenVPN for access, firewall with your own rules. Your team connects only from where you decide.
Private Git integrated
Forgejo self-hosted included, or mTLS connection to your GitLab / GitHub Enterprise. CI/CD with runners in your slice.
Shared inference endpoints
Deploy a model once, the whole team uses it via the VPN. Private REST API, mTLS, no artificial quotas.
Projects
- odiverse-api8
- rag-legal3
- fine-tuning-v2
- sandbox
Team
- adminJS
- devMR
- devLP
- viewerAL
$ gpusol deploy llama_serve.py
✓ deployed · endpoint https://api.acme.gpusolutions.ai/complete
✓ mTLS · VPN-only · 115 tok/s avg
Isolation by design
Isolation
Dedicated VM level
Access
WireGuard + mTLS
Endpoints
TLS 1.3 · cert auth
Audit
Full access logs
Solutions
Solutions
We don't sell bare GPUs. We offer complete solutions so your team can do real AI without depending on third-party APIs.
Your own sovereign code assistant. Your team codes with AI without a single line of code leaving your environment. Cutting-edge open-source models deployed in your private sandbox.
Use cases
Infrastructure
Under the hood
For those who want to know what's underneath. Cutting-edge hardware specifically designed for AI workloads.
NVIDIA Blackwell B200
NVIDIA's most advanced GPU architecture. Designed for inference and training of state-of-the-art AI models.
HBM3e
192 GB
FP8
4.5 PFLOPS
NVLink 5
1.8 TB/s
InfiniBand NDR
400 Gb/s between nodes for distributed training without bottlenecks. The same technology used by TOP500 supercomputers.
Speed
400 Gb/s
Latency
< 1 µs
Topology
Fat-tree · RDMA
Exascaler HPC
AI-optimized parallel filesystem. Read/write performance that keeps up with the GPUs. Persistent and encrypted.
FS
Parallel · POSIX
At rest
AES-256
Access
GPUDirect Storage
Tier 3 Datacenter · Madrid
N+1 redundancy across all critical systems. Diesel generators, UPS, redundant cooling. Tier III design availability: 99.982% (Uptime Institute definition).
Tier
III · N+1
SLA
99.982%
Cooling
Direct liquid
Madrid today. Europe tomorrow.
R&D Lab · From Granada with ♥
GPU Solutions Lab
A suite of AI products built in Granada — open, in beta, or in research — that you can try on our infrastructure before committing to anything. Real use cases, not PowerPoint demos.
01
Eridani
LivePublic research project running on our platform.
GPU Solutions Lab · Research · live
First Lab project released openly. Developed and operated end-to-end on GPU Solutions infrastructure in Madrid.
02
Odiverse
BetaEnterprise AI for finance.
Julio Sola · Founder
Chat with your fiscal, accounting, and treasury data. An AI assistant that understands your PnL, not one that promises dashboards.
03
Sustainable AI Benchmark
ResearchPublic energy-efficiency benchmark for AI models.
UGR + GPU Solutions · Research collaboration
Reproducible framework measuring the real cost in watts per token of a workload. Built with the Sustainable AI Infrastructure chair at the University of Granada.
Ecosystem
Backed by the best
Members of NVIDIA's program for high-potential AI startups. Access to technical support, hardware and NVIDIA ecosystem.
Sustainable AI Infrastructure Chair. Joint research in energy efficiency and high-performance computing.
Pricing
From a fractional GPU to a dedicated cluster.
GPU Compute
from €2,49/GPU/hr
NVIDIA B200 · -40% reserved
Storage
from €0,12/GB/mo
Exascaler HPC
Tokens
from €0,20/1M
Llama · Qwen · Mistral
Sandbox
from €299/mo
Private environment
Proposal in 24h
Technical guide · Pre-launch
Not sure which combo you need?
Pod, B200 slice, Exascaler storage, tokens. What each piece is, how they fit together, three typical combos with ballpark pricing, and why it matters that they live in the same rack over InfiniBand. Join the list and we'll email you the PDF the moment it ships.
PDF · ~14 pages · 10 min
Insights
Blog & Research
What we think, what we research, what we know.
Private inference: the speed that saves money (and the numbers that prove it)
Price per token is half the cost. The other half is your team waiting. We calculate the exact point where a dedicated slice beats any public API.
Read article →
NIS2 for CTOs: a technical checklist for your AI supply chain
The NIS2 technical annex nobody reads, translated into an actionable checklist. The controls your platform team should answer yes/no tomorrow morning — with the full downloadable resource at the bottom.
Why data sovereignty is non-negotiable in 2026
GDPR was the beginning. NIS2 is the present. And your AI infrastructure has to be ready.
Private coding assistants: why your team shouldn't send code to third-party APIs
63% of companies have restricted which generative AI tools their employees can use, and 27% have outright banned them for certain applications (Cisco Data Privacy Benchmark 2024). There's an alternative.
Liquid cooling in GPU datacenters: the real efficiency numbers
We're publishing our PUE and energy consumption numbers after 6 months running HGX B200 under direct liquid cooling.
Frequently asked questions
The real questions CTOs, CISOs and platform leads ask us.
- 01
Where is my data processed and stored?
In our Tier 3 datacenter located in Madrid. Your data stays in Spanish territory at all times and does not cross borders. Not for processing, not for storage, not for third-party training.
- 02
What security certifications do you hold?
We are certified in ISO/IEC 27001:2022 (Information Security Management System) and Spanish National Security Framework (ENS) Medium Category. Both are verifiable and auditable from day one.
- 03
Can you serve Spanish public sector entities?
Yes. Our ENS Medium certification qualifies us to work with public administration, health, smart cities and defense. We are a Spanish operator, which simplifies public procurement processes.
- 04
What hardware do you use?
Cluster built on NVIDIA Blackwell B200 (192 GB HBM3e, 4.5 PFLOPS FP8 per GPU) interconnected with InfiniBand NDR at 400 Gb/s, Exascaler parallel storage and direct-to-chip liquid cooling. We are partners of the NVIDIA Inception Program.
- 05
Can I run open-source models on your platform?
Yes. We run state-of-the-art open-source models (Llama, DeepSeek, Mistral, Qwen and others) on dedicated private endpoints. Your code, your prompts and your data never leave your environment.
- 06
How long does a proof of concept take to go live?
Days to a few weeks, not months. We deploy your initial use case on infrastructure that is already operating, avoiding long hardware procurement and platform buildout cycles.
- 07
What languages do you support and what are your hours?
Support in Spanish and English, team in European business hours. Your technical counterpart is an engineer, not a generic first-line agent.
- 08
How is the service billed?
Three plans: Starter (small teams, coding assistant), Professional (private inference with SLAs) and Enterprise (dedicated cluster, custom pricing). Monthly billing in euros, no minimum commitment on the first two.
Contact
Let's talk
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Your AI deserves real infrastructure.
Come see it. We'll invite you to the datacenter in Madrid. No PowerPoints.