Direct-to-Chip liquid cooling
Native DLC architecture designed for sustained operation at rated GPU TDP, limiting thermal throttling under intensive workloads.
AI-ready data centers in ten Spanish tier-2 cities — closer to your users, closer to your data.
Phased, repeatable infrastructure designed to reduce concentration risk and accelerate capacity delivery.
Target availability for both tranches: 12–15 months, subject to Notice to Proceed, conditions precedent, site, power, permitting, financing and equipment milestones. Designed for applicable EU and Spanish regulatory requirements; final compliance is site-specific.
native rack density
target proximity latency*
independent Spanish sites
accelerator-ready architecture
JEVONS EDGE is conceived as AI-native infrastructure: high-density, liquid-cooled and distributed close to the workloads that need predictable response, control and sovereignty.
We design, build and operate our own AI-ready edge data centers — not resold capacity — across ten tier-2 cities organised into five paired backup regions.
Native DLC architecture designed for sustained operation at rated GPU TDP, limiting thermal throttling under intensive workloads.
High-density power and cooling envelope for current and next-generation accelerated compute platforms.
Infrastructure aligned with advanced NVIDIA accelerator generations, offered through reserved or on-demand capacity structures.
<10 ms target proximity to selected tier-2 industrial and public-sector demand; 20–30 ms end-to-end target for applicable use cases.
Spanish nodes designed for regulated and sensitive workloads, with GDPR, NIS2 and ENS readiness embedded in the operating model.
Ten independent centers across paired regions reduce single-campus dependency and create a repeatable national deployment platform.
Co-Founder & Principal
With over 25 years of experience in the financial sector in senior management roles. Economist, Executive MBA from IESE.
Co-Founder & Principal
With over 25 years of experience in the design and construction of data centers worldwide. Architect with a master's degree in project management.
Co-Founder & Principal
With over 25 years of senior management experience in the telecommunications, technology and renewable energy sectors.
Four layers on owned infrastructure.
AI workloadinference request →
→ executed at the edge node
10 nodes · 5 regions
Dedicated H200 / B300 capacity for predictable inference and training.
€/GPU·h · 6–12 months
Bring your own accelerators into 100–150kW direct-to-chip racks.
€/kW·month · 12–36 months
Reserved GPU hours and availability for always-on agentic workloads.
Reserved kW/TB · recurring
Capacity is allocated first-come, first-served and secured with a Letter of Intent (LOI).
Indicative terms, subject to permits and final agreement.
Compact footprint, industrialised engineering. A repeatable facility — 1,000 m² built on a 10,000 m² plot — designed for high-density AI from day one.
Scales within the same infrastructure as demand grows.
Direct-to-Chip liquid cooling for the densest workloads.
Ambient-cooled capacity for mixed, lighter workloads.
External power & pumping modules cut civil works and speed deployment.
In-country data with paired-region replication and failover.
H200 / B300 / NVL72
Tier-2 cities paired into five regions.
Tap a node to explore the network
Eastern–Western Andalusia
Málaga · Seville
Levant / Ebro Valley
Valencia · Zaragoza
Basque Country – Cantabria
Bilbao · Santander
Asturias – Castile & León
Oviedo · Valladolid
Western Atlantic coast
Vigo · A Coruña
Production workloads need contractual commitments, not marketing promises.
Whether you need capacity now, or you're backing the network, let's talk.
For neoclouds, AI infrastructure platforms and large customers evaluating high-density capacity.
For infrastructure equity, private credit, project finance and strategic capital providers.