AI infrastructure designed to scale
from first GPU to AI Factory
— with governance built in
From 1 data scientist to 1,000+ users
15+ years delivering enterprise IT infrastructure solutions combined with cutting-edge AI expertise.
From VMware optimization to AI Factory infrastructure.
From enterprise storage to Responsible AI Governance Framework RAIGF™.
Official Gigabyte & NVIDIA AI partner delivering GPU clusters and datacenter solutions.
Official Vates MSP providing Level 1 & 2 XCP-ng support.
AI certified team.
Transform your infrastructure with dual expertise: proven IT services and innovative AI solutions.
Find your recommended AI starting point
Answer a few questions to identify the right architectural and governance approach for your organization
Beyond GPUs: What Makes AI Infrastructure Work
Infrastructure Foundation
GPU clusters need virtualization, high-throughput storage, and enterprise networking. Without the complete stack, expensive hardware can't reach its potential.
40% GPU utilization vs 85% utilization. 6-month storage bottlenecks vs seamless scaling.
Scalable Architecture
Start with workstations, scale to enterprise datacenters. No rip-and-replace. No starting over when AI proves its value.
Your first AI investment still works at 100 users. Scale capacity without throwing away what you've built.
Governance & Compliance
EU AI Act and GDPR compliance aren't optional. Building governance from day one is cheaper than retrofitting later.
Avoid costly compliance retrofits. No emergency scramble when regulations hit. Auditors find processes, not gaps.
Components That Maximize Your AI ROI
Enterprise-grade components designed for performance and reliability
GPU & Compute
40-60% better utilization through virtualization
Enterprise NVIDIA & AMD GPUs • 8-512+ scalable • VMware vGPU & XCP-ng
High-Performance Storage
Up to 430GB/s aggregate throughput
Infortrend • StorONE • Open-e • Petabyte-scale • Zero bottlenecks
Network Fabric
Maximum GPU efficiency, zero idle time
InfiniBand HDR/NDR • NVLink • 100GbE • RDMA protocols
Scalable GPU Clusters
128-512+ GPUs without architectural disruption
GIGABYTE GIGAPOD • InfiniBand 200-400Gbps • NVLink fabric
Thermal & Energy Management
24/7 sustained performance
EU-compliant liquid/air cooling • Energy-efficient designs • GIGABYTE optimization
Edge AI Platforms
Real-time inference on production lines
NVIDIA Jetson • Intel edge • -20°C to +60°C • OT/IT integration
AI Workstations
Start Your AI Journey Without Datacenter Complexity
Ideal for: Individual data scientists, small research teams (1-5 users), proof of concept projects, and organizations exploring AI capabilities before major infrastructure investment.
Challenges You're Facing
- Your data scientists are competing for limited GPU resources on shared cloud platforms
- AI experiments stuck in endless queues, slowing down innovation cycles
- Cloud GPU costs escalating rapidly as your team runs more experiments
- Need to prove AI value to stakeholders before justifying datacenter investment
What AI Workstations Deliver
Immediate Access
Deploy in 1-2 weeks.
No datacenter infrastructure required.
Start training models immediately.
Cost Predictability
Fixed investment.
No surprise cloud bills.
ROI visible within first quarter of operation.
Data Sovereignty
Complete control over your data.
GDPR compliance built-in.
No data leaving your premises.
Scalable Architecture
Designed to grow.
Seamlessly upgrade to AI Servers when your team scales—no rip-and-replace.
Enterprise-Grade Components
- NVIDIA RTX 4090, RTX 6000 Ada, or A-series professional GPUs
- 128GB-512GB RAM for large dataset handling
- Pre-configured AI frameworks (PyTorch, TensorFlow, JAX)
- Multi-user collaboration with shared storage setup
- High-core-count CPUs optimized for AI workloads (Intel Xeon, AMD Threadripper)
- NVMe SSD storage (2TB-8TB) for fast data access
- Optimized cooling for sustained 24/7 GPU workloads
- Remote access configuration for flexible work environments
Your first workstation becomes your enterprise foundation—not electronic waste.
AI Servers
Enterprise AI Performance Without Business Headaches
Ideal for: Growing AI teams (5-25 users), multiple concurrent projects, departmental AI infrastructure, and organizations with proven AI value requiring professional GPU resource management and enterprise IT integration.
Challenges You're Facing
- Multiple AI teams competing for limited GPU resources—bottlenecks slowing critical projects
- Individual workstations no longer sufficient as AI initiatives scale across departments
- Need professional GPU virtualization to maximize resource utilization and ROI
- Requirement to integrate AI infrastructure with existing enterprise IT environment
- Lack of centralized management and governance as AI workloads grow
What AI Servers Deliver
GPU Virtualization
Share expensive GPU resources across multiple teams with 40-60% utilization improvement. VMware vGPU or XCP-ng passthrough enables concurrent AI workloads with complete isolation.
Enterprise Integration
Seamless integration with existing virtualization, storage, and network infrastructure.
Centralized management through familiar enterprise tools.
Production Readiness
High-availability clustering, enterprise support, and RAIGF™ governance framework.
Professional 24/7 monitoring and management capabilities.
Resource Management
Fair-share scheduling, resource quotas, and chargeback capabilities.
Multiple projects and teams managed efficiently with clear visibility and control.
Enterprise-Grade Components
- 4-8 NVIDIA H100, A100, or L40S GPUs per server for maximum compute power
- Gigabyte enterprise GPU servers with optimized thermal design and redundant PSU
- Dual high-core CPUs (Intel Xeon Scalable, AMD EPYC) with 512GB-1TB RAM
- GPU virtualization (VMware vGPU or XCP-ng passthrough) for multi-tenant access
- Enterprise storage integration: Open-e Jovian DSS, StorONE, or Infortrend solutions
- 10GbE or 25GbE networking with VLAN segmentation for security
- VMware vSphere or XCP-ng deployment with HA clustering
- Basic RAIGF™ governance framework implementation
- Official Vates MSP Level 1 & 2 XCP-ng support included
- Integration with existing virtualization and storage infrastructure
- Enterprise remote management (iDRAC, iLO, IPMI)
- Professional deployment, training, and documentation
Make €200K in GPUs work like €400K through smart architecture.
AI Datacenter
Enterprise AI Operations Without Downtime Risk
Ideal for: Production AI workloads (25-100+ users), enterprise-wide deployment, business-critical applications requiring 24/7 reliability, multiple departments using AI, and organizations where AI is central to business operations.
Challenges You're Facing
- AI models serving customers or critical business processes—downtime is not an option
- Scaling beyond departmental infrastructure to enterprise-wide AI operations
- Regulatory compliance requirements (GDPR, EU AI Act) demanding governance and auditability
- Storage bottlenecks preventing efficient training of large models and data pipelines
- Need for production-grade MLOps with model versioning, deployment automation, and monitoring
- Multiple business units requiring isolated, secure AI environments with fair resource allocation
What AI Datacenter Deliver
Production Reliability
High-availability GPU clusters with 24/7 operations. Enterprise-grade redundancy, failover capabilities, and up to 5 years support coverage ensure your AI never stops.
Maximum Performance
8-32 GPU clusters with ultra-high-throughput storage (up to 430GB/s). InfiniBand or 100GbE networking eliminates all bottlenecks for training and inference at scale.
Structured Governance
Full RAIGF™ framework implementation ensuring GDPR and EU AI Act compliance. Comprehensive policies, risk management, and audit trails built-in from day one.
Enterprise MLOps
Production-grade model deployment pipelines with versioning, A/B testing, and monitoring. Seamless transition from training to production with full traceability.
Enterprise-Grade Components
- 8-32 GPU clusters with NVIDIA H100, A100, or L40S in Gigabyte GIGAPOD configurations
- High-availability architecture with automated failover and disaster recovery
- Advanced cluster management with Kubernetes, Slurm, or enterprise orchestration platforms
- Ultra-high-throughput storage: Infortrend EonStor GSx up to 430GB/s clustered performance
- Multi-tier storage architecture: all-flash NVMe, hybrid, and capacity tiers for complete data lifecycle
- 100GbE or InfiniBand HDR networking with NVLink for GPU-to-GPU communication
- VMware vSphere with DRS & HA or XCP-ng clustering for enterprise virtualization
- Production MLOps infrastructure: Kubeflow or MLflow with automated pipelines
- Complete RAIGF™ governance framework: policies, ethics committee, compliance management
- Model registry, versioning, A/B testing infrastructure, and comprehensive monitoring
- Network segmentation with QoS policies for different workload priorities
- 24/7 proactive monitoring and support with up to 5 years coverage available
- Complete audit trails and compliance reporting for regulatory requirements
- Dedicated support team with quarterly performance reviews and optimization
Pass your first AI audit without hiring a compliance army.
AI Factory
Industrial-Scale AI Without Operational Complexity
Ideal for: AI-driven organizations (100+ users), large-scale foundation model training, continuous AI operations at scale, organizations where AI is core to competitive advantage, and purpose-built AI facilities requiring industrial-grade infrastructure.
Challenges You're Facing
- Training large foundation models requiring coordinated multi-node GPU clusters at scale
- AI is strategic to business success—infrastructure limitations cannot constrain innovation
- Hundreds of users and projects requiring fair resource allocation and governance at scale
- Need for purpose-built AI facility with optimized power, cooling, and network topology
- Multi-year capacity planning and infrastructure roadmap to support continuous AI growth
- Compliance requirements demanding comprehensive governance across the entire AI lifecycle
- Requirement for white-glove infrastructure support and proactive optimization
What AI Factory Deliver
Industrial Scale
32-100+ GPU clusters with petabyte-scale storage infrastructure. Purpose-built architecture for training foundation models and continuous AI operations at unprecedented scale.
Maximum Throughput
Ultra-high-performance storage up to 430GB/s aggregate with InfiniBand NDR 400Gbps networking. Zero bottlenecks from data ingestion to model deployment at any scale.
Multi-Tenant Excellence
Enterprise orchestration supporting hundreds of concurrent projects with strict isolation, fair-share scheduling, and automated resource allocation. Chargeback and billing integration built-in.
Comprehensive Governance
Multi-level RAIGF™ implementation with AI ethics committee, executive dashboards, and complete regulatory compliance management. EU AI Act ready from day one.
Enterprise-Grade Components
- 32-100+ GPU clusters with NVIDIA H100, A100, or AMD MI300 in Gigabyte GIGAPOD ultra-scale solutions
- Optimized topology for distributed training with advanced scheduling and orchestration
- Ultra-high-throughput storage: Infortrend EonStor GSx clusters up to 430GB/s aggregate performance
- Multi-petabyte capacity scaling with parallel file systems for maximum concurrent access
- All-flash NVMe performance tiers and tiered storage for complete data lifecycle management
- InfiniBand HDR (200Gbps) or NDR (400Gbps) networking with NVLink switches for GPU-to-GPU fabric
- RDMA-enabled protocols for zero-copy transfers and minimal latency distributed training
- Non-blocking network topology optimized for large-scale AI workloads
- Multi-tenant infrastructure with strict isolation and dynamic resource allocation by priority
- Fair-share scheduling across teams with integration to billing and chargeback systems
- Enterprise MLOps platforms: Kubeflow or commercial solutions for hundreds of models
- Advanced model versioning, registry, canary deployments, and blue-green strategies
- Comprehensive monitoring and observability with executive dashboards and reporting
- Complete RAIGF™ implementation: multi-level governance, ethics committee, compliance management
- AI risk management framework with bias detection, mitigation, and audit capabilities
- Complete datacenter architecture design: power, cooling, physical layout optimization
- Multi-year capacity planning and infrastructure roadmap with disaster recovery
- White-glove dedicated support team with up to 5 years comprehensive coverage
- Proactive optimization, tuning, quarterly reviews, and on-site support when needed
The Virtualtek Way
Run 100 concurrent AI projects without a PhD in infrastructure management.
Core Infrastructure Expertise
15+ years proven infrastructure combined with cutting-edge AI deployment
GPU Virtualization
Transform expensive GPU hardware into shared infrastructure. Multiple teams, maximum utilization, zero conflicts.
- 40-60% utilization improvement in multi-tenant environments
- VMware vSphere with vGPU or XCP-ng GPU passthrough
- Resource pools for different teams and projects
- Live migration and high availability for AI workloads
- Official Vates MSP Level 1 & 2 support for XCP-ng
AI Storage Architecture
Purpose-built storage that eliminates bottlenecks. Your GPUs only work as fast as your storage feeds them data.
- Infortrend EonStor GSx: 43GB/s per appliance, 430GB/s clustered
- StorONE Enterprise with AI-embedded optimization
- Open-e Jovian DSS for unified enterprise workloads
- Multi-tier architecture for complete data lifecycle
- Zero-bottleneck design from 15+ years storage expertise
RAIGF™ Governance
Comprehensive AI governance framework ensuring EU AI Act compliance and responsible deployment from day one.
- Strategic Alignment: AI objectives tied to business goals
- Ethical Governance: Bias detection, fairness, transparency
- Operational Excellence: MLOps, monitoring, audit trails
- Risk & Compliance: GDPR, EU AI Act readiness built-in
- Exclusive European distributor of RAIGF™ framework
From First Contact to Running Infrastructure
Proven deployment process refined over 15+ years
Initial Consultation
Free discussion about your needs, challenges, and budget parameters. We listen more than we talk.
30-45 minSolution Design
Detailed architecture proposal with multiple options. Clear pricing, no hidden costs.
3-5 daysValidation & Refinement
We adjust until it's perfect. Your feedback drives the final solution.
1-2 weeksProcurement & Assembly
Leveraging our partnerships for best pricing. Assembly and testing in Belgium.
2-4 weeksImplementation
Professional deployment with minimal disruption. We handle everything.
1-3 weeksHandover & Support
Complete documentation, training if needed, and ongoing support options.
OngoingFrequently Asked Questions
AI Infrastructure Guidance
GPU & Compute
| GPU Options | NVIDIA H100, A100, L40S, RTX 6000 Ada AMD Instinct MI300X, MI250X |
| GPU Memory | 24GB to 192GB per GPU |
| Scale Range | Single workstation to 512+ GPU clusters |
| Virtualization | VMware vGPU, XCP-ng GPU passthrough 40-60% utilization improvement |
High-Performance Storage
| Solutions | Infortrend EonStor GSx StorONE Enterprise Open-e Jovian DSS |
| Throughput | Up to 43GB/s per appliance Up to 430GB/s clustered |
| Capacity | Petabyte-scale configurations |
| Architecture | All-flash NVMe, hybrid, tiered storage Parallel file systems for AI workloads |
Network & Interconnect
| InfiniBand | HDR (200Gbps), NDR (400Gbps) |
| Ethernet | 10GbE, 25GbE, 100GbE |
| GPU Fabric | NVLink for GPU-to-GPU communication RDMA-enabled protocols |
| Topology | Non-blocking network designs Optimized for distributed training |
Thermal & Energy
| Cooling Options | Air cooling (optimized airflow) Liquid cooling for high-density |
| Compliance | EU energy efficiency standards 24/7 sustained performance capable |
| Thermal Design | GIGABYTE optimized thermal solutions Prevents GPU throttling under load |
| Power | Redundant PSU configurations Energy-efficient architectures |
Platforms & Deployment
| Server Platforms | GIGABYTE GIGAPOD clusters Custom rack configurations |
| Edge Platforms | NVIDIA Jetson, Intel edge devices Rugged: -20°C to +60°C, IP-rated |
| Assembly | Assembled and tested in Belgium Quality assurance before deployment |
| Support | Up to 5 years coverage available 24/7 monitoring and management |
Software & Governance
| Virtualization | VMware vSphere with DRS & HA XCP-ng (Official Vates MSP L1 & L2) |
| Orchestration | Kubernetes, Slurm, enterprise schedulers Resource pools and fair-share scheduling |
| MLOps | Kubeflow, MLflow platforms Model registry and automated pipelines |
| Governance | RAIGF™ framework implementation GDPR and EU AI Act compliance ready |
All specifications are current as of January 2026 and subject to availability. Contact us for the latest configurations and custom requirements.
For teams of 1-5 users exploring AI, we recommend starting with AI workstations equipped with NVIDIA RTX or A-series professional GPUs. This provides a cost-effective entry point without datacenter complexity, while ensuring the architecture can scale when AI proves valuable.
Move to multi-GPU servers when you have 5-25 users competing for GPU resources, multiple concurrent AI projects, or proven POCs that need to scale to production. This typically happens when AI moves from experimentation to departmental infrastructure requiring professional support and integration with existing IT.
Yes. Virtualtek designs AI infrastructure compliant with GDPR and the EU AI Act. As exclusive European distributor of the RAIGF™ governance framework, we implement responsible AI practices and compliance verification from the start. On-premises deployment provides complete data sovereignty and control required for EU regulatory compliance.
GPU virtualization enables multiple users to share expensive GPU resources, typically improving utilization by 40-60% compared to bare metal. This means more users can access AI capabilities with fewer physical GPUs, dramatically reducing infrastructure costs while maintaining isolation and security between teams. Our 15+ years virtualization expertise ensures optimal implementation.
RAIGF™ (Responsible AI Governance Framework) is a comprehensive governance structure covering Strategic Alignment, Ethical Governance, Operational Excellence, Risk & Compliance, and Sustainable Operations. It matters because AI without governance creates regulatory risks (EU AI Act), ethical concerns, and business failures. Virtualtek is the exclusive European distributor.
Yes. We are VMware experts with 15+ years experience and Official Vates MSP (Level 1 & 2 support) for XCP-ng open-source virtualization. We recommend the appropriate platform based on your requirements, existing infrastructure, and budget constraints — not based on vendor bias.
We deploy purpose-built storage for AI depending on your requirements: Infortrend EonStor GSx for high-throughput training (up to 430GB/s clustered), StorONE Enterprise for cost-effective capacity with AI-embedded capabilities, and Open-e Jovian DSS for unified enterprise storage (VMware Ready certified). Storage architecture depends on your data volumes, throughput requirements, and budget. Our 15+ years storage expertise ensures zero bottlenecks.
Yes. We design scalable architectures from the start. Begin with AI workstations, scale to multi-GPU servers, expand to datacenter infrastructure, and evolve to AI Factory as AI proves value. Each stage builds on previous investment — no rip-and-replace required.
You bring the business challenges.
We design the AI architecture and governance to address them.
Partner
of Medium Business Success
AI Infrastructure & Virtualization Experts
Specialized in:
– AI Infrastructure (Official Gigabyte & NVIDIA Partner)
– Virtualization (VMware Expert + Official Vates MSP)
– Enterprise Storage (Open-e, StorONE, Infortrend, AIC)
– RAIGF™ Governance (Exclusive European Distributor)
Contact Info.
Offices.
- Belgium - France - USA
Headquarter.
- Ruelle des colons, 14 - 4252 OMAL - BELGIUM
