Green compute • AI-ready infrastructure
Powering Europe’s next generation of AI infrastructure
Baltic Green Compute Center develops and operates modular, energy-efficient AI compute infrastructure. Our mission is to provide reliable GPU capacity for European SMEs, research institutions and industrial actors, reducing dependency on non-European hyperscalers and supporting long-term digital resilience.
2025
Baltic Green Compute Center UAB was established to operate shared AI compute infrastructure as a neutral, long-term digital asset.
PUE-target
The facility is designed around high-efficiency cooling and continuous monitoring to reduce overall energy consumption per unit of compute.
300–500 kW
Our Mission
+10 Years
Industry Experience
The project is supported by experience drawn from data center, infrastructure and digital technology domains, combined into a focused AI compute initiative.
AI-focused infrastructure
We design and operate AI compute systems that combine GPU hardware, high-speed networking and a dedicated allocation platform to deliver predictable, measurable performance for multiple tenants.
AI compute platform
High-density GPU systems
Racks designed for high-performance GPUs, optimized for AI training and inference, with capacity to scale through a modular build-out.
High-speed networking
Low-latency, high-bandwidth network fabric connecting compute, storage and external connectivity for demanding AI workloads.
Secure multi-tenancy
Logical and physical separation of tenants, with controlled access and auditable resource allocation aligned with institutional and regulatory expectations.
Designed for long-term green impact.
Every design choice at BGCC is evaluated through its energy impact. The facility integrates efficient cooling, careful power architecture and compatibility with renewable sourcing to reduce the environmental footprint of AI compute.
Energy monitoring
Continuous monitoring of power usage and cooling performance to track efficiency over time and support transparent reporting.
Lower footprint per compute unit
By focusing on high-density GPU systems and efficient cooling, BGCC aims to reduce energy consumed per unit of AI compute delivered.
Resource efficiency
Infrastructure is designed to be modular and upgradeable, extending hardware lifetime and limiting unnecessary waste.
Services
Tu as actuellement trois blocs numérotés (01. / 01. / 01.) avec titres et listes. Tu remplaces par des services liés au compute.
01.
AI compute access
Provide GPU compute capacity for AI training and inference in a controlled, shared environment.
- Shared GPU infrastructure
- Standardized execution environments
- Usage-based allocation
02.
Institutional and research support
Enable universities and research centers to run AI workloads without bearing full infrastructure CAPEX.
- Project onboarding
- Resource planning
- Reporting and KPIs
03.
Industry integration
Support industrial actors that require AI compute for production, optimisation or R&D.
- Capacity planning
- Integration with existing digital systems
- Long-term collaboration frameworks
Built for critical AI workloads.
BGCC is designed as an infrastructure asset for complex, compute-intensive use cases. The facility combines controlled power delivery, cooling and connectivity in a modular architecture that can evolve over time.
AI and research workloads
Support for model training, fine-tuning and experimentation in academic, institutional and applied research contexts.
Industrial and enterprise use
Compute capacity for industrial optimization, predictive maintenance, quality control and other AI-driven applications.
Digital infrastructure ecosystems
Ability to interconnect with broader digital and cloud ecosystems, supporting hybrid models and future regional expansion.
Let’s Talk
If you represent a public authority, funding agency, research institution, industrial actor or financial institution and wish to explore collaboration around AI compute infrastructure, you can reach us through the contact form or by email.
- contact@bgcc.com