Infrastructure
Data Centre Project
A data-centre development project in Romania, designed to support future artificial-intelligence, high-performance computing and secure digital-infrastructure workloads.
01 — Status
Current stage
A building has been secured in Romania, and the facility is advancing through the final phases of technical installation and commissioning.
Technical studies continue to refine the facility’s electrical, cooling, connectivity, physical-security and operational requirements, alongside the regulatory and technical standards applicable to the facility.
Installation of the final technical systems is currently in progress.
02 — Purpose
Project purpose
The project is intended to establish scalable digital infrastructure capable of supporting future workloads such as:
- Artificial-intelligence development and inference
- High-performance computing
- Secure software development and testing
- Data-intensive applications
- Enterprise and research computing
03 — Engineering
Technical direction
The design process is evaluating modular infrastructure suitable for both conventional enterprise systems and high-density GPU computing.
- PCIe-based enterprise GPU servers
- High-density GPU platforms
- AI training and inference systems
- High-performance storage
- Low-latency networking
- Air- and liquid-cooling solutions
- Resilient electrical and monitoring infrastructure
04 — Infrastructure
Infrastructure planning
The project assessment covers:
- Utility and backup power
- Electrical distribution and resilience
- Air and direct-to-chip liquid cooling
- Heat rejection and environmental monitoring
- Internet connectivity and diverse fibre routes
- High-performance compute networking
- Racks and structured cabling
- Fire detection and life-safety systems
- Physical access control
- Cybersecurity and operational monitoring
- Backup, recovery and business continuity
- Phased deployment and future expansion
05 — Location
Location
The project is located in Romania, in Ploiești, Prahova County.
The secured building is situated at Strada Mihai Bravu 244b, 100410 Ploiești. It serves as the project’s data-centre facility and principal development office.
06 — Capacity
Capacity and equipment status
No public power-capacity figure is claimed at this stage.
Any internal design ceiling, power model or expansion scenario remains a planning assumption until it is supported by the relevant engineering studies, utility documentation and project approvals.
No GPU, server, rack-scale system, cooling platform or network configuration should be understood as purchased, installed or operational unless explicitly confirmed in a future project update.
07 — Compliance
Compliance and resilience
Applicable Romanian and European requirements, together with relevant data-centre, information-security, energy-efficiency, safety and operational standards, are being assessed as part of the project-development process.
This statement does not represent certification, regulatory approval or confirmation of compliance. Any future certification or conformance claim will be published only after independent verification and supporting documentation are available.
08 — Due diligence
Due diligence
NOVACORE AI S.R.L.’s public corporate identity and registry information is available on this website and can be independently verified through the Romanian Trade Register.
Non-public project documentation may be made available to qualified counterparties under appropriate confidentiality terms and subject to internal authorisation.
Verified milestones and technical information will be published progressively when they are supported by documentation suitable for counterparty review.
Facility
The secured building
Photographs of the secured building on Strada Mihai Bravu, Ploiești. The site combines the project’s data-centre facility with its principal software-development office.
09 — Evaluation
Compute technologies under evaluation
The project is evaluating a range of enterprise AI, inference, rendering and high-performance-computing technologies. The publicly available specifications below provide a reference for the platforms included in our technical assessment.
Current-generation GPU platforms from leading manufacturers are among the technologies being evaluated. Final selections will be made based on engineering studies, workload requirements and procurement conditions.
GPU compute categories
| Category | Architecture generation | Reference memory range | Form factor |
|---|---|---|---|
| Enterprise AI accelerator | Current generation (HBM3/HBM3e) | 80 – 288 GB | SXM / OAM module |
| Professional visualisation GPU | Current generation (GDDR7 ECC) | 48 – 96 GB | PCIe 5.0 / dual-slot |
| Data-centre inference GPU | Current generation (GDDR6 ECC) | 48 GB | PCIe |
| High-density AI platform | Current generation (HBM3/HBM3e) | 1.5 – 2.3 TB per node | 8-GPU baseboard or UBB |
← Scroll to see the full table
Compute node categories
| Category | GPU density | Reference GPU memory | Typical form factor |
|---|---|---|---|
| Enterprise AI server | 8 GPU accelerators | 640 GB – 2.3 TB | 8U–10U rackmount |
| Professional GPU server | up to 8 GPU modules | up to 768 GB | 4U–8U OEM rackmount |
| High-density AI system | 8 GPU baseboard | 1.5 – 2.3 TB | UBB/OEM configuration |
← Scroll to see the full table
Reference figures describe equipment capability ranges, not deployed configurations. Actual deployment power must account for CPUs, memory, storage, networking, power-conversion losses, cooling, redundancy and auxiliary systems.
Rack-scale computing
| Category | Configuration | Interconnect |
|---|---|---|
| Rack-scale AI fabric | 72 GPU + 36 CPU per rack | NVLink fabric (TB/s class internal) |
| 8-GPU baseboard | 8 GPU modules | 1.4 – 2.3 TB HBM3e |
← Scroll to see the full table
Rack-scale systems require purpose-built power distribution, direct liquid cooling, coolant distribution units and specialised networking. Final platform selection depends on engineering studies, workload requirements, energy availability, procurement conditions and investment approval.
Infrastructure formats
- PCIe GPU cards
- Modular GPU accelerators for compatible enterprise servers across current-generation architectures.
- SXM GPU modules
- High-density GPU modules designed for multi-GPU baseboard platforms with high-bandwidth interconnect.
- HGX baseboards
- Integrated multi-GPU modules used by qualified server manufacturers.
- OAM/UBB platforms
- High-density accelerator infrastructure for current-generation data-centre GPU systems.
- DGX systems
- Complete AI platforms integrating GPUs, CPUs, high-speed switching, storage, networking and the associated software environment.
- NVL rack-scale systems
- Integrated, liquid-cooled rack-scale platforms combining compute trays, processors, GPUs, high-speed switching fabric, networking and power infrastructure.
Verify us independently
The legal identity of NOVACORE AI S.R.L. is published in full on this site and can be verified at the Romanian Trade Register.
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