On-Site Engineering for GPU Clusters & Compute Nodes
Specialized physical deployment for high-density AI workloads. We handle heavy chassis, complex cabling, and high-power racks in Dutch data centers.
AI-Specific Operations
Unlike standard server racking, AI infrastructure requires precision with airflow, power balancing, and heavy lifting.
High-Density GPU Deployment
- Heavy Chassis: Safe mounting of 4U/8U systems (50kg+) using specialized lifts.
- Power Balancing: Distributing PSUs across 3-phase feeds for 10kW-20kW+ racks.
- Airflow: Strict blanking panel installation for cooling integrity.
Cluster Interconnects (Fabric)
- Leaf/Spine: Physical cabling for InfiniBand or high-speed Ethernet fabrics.
- Optics: Cleaning and scoping of QSFP-DD / OSFP transceivers.
- Fiber Mgmt: Radius protection for massive fiber bundles.
Supported Platforms
We work with enterprise and hyperscale hardware vendors. If it racks, we can install it.
Dell PowerEdge
- R770, XE9680
- R760xa, R660
- Legacy Maintenance
Supermicro
- HGX H100/H200
- BigTwin / FatTwin
- Top-loading JBODs
HPC & Others
- NVIDIA DGX Systems
- Lenovo ThinkSystem
- HPE Cray / Apollo
Typical Scenarios
Startups: First AI Pod
“We are shipping our first 8x H100 servers to NorthC. Need a team to unbox, rack, cable, and verify IPMI access so our dev team can take over remotely.”
Scale-Up: Expansion
“Adding 4 new racks of compute nodes. Need physical installation, PDU cabling, and fiber patching to the existing spine switches.”
Scalable Engineering Capacity
AI deployments often have tight windows. We provide a dedicated engineering team capable of parallel execution to meet deployment deadlines. We coordinate directly with your remote project managers.
Frequently Asked Questions
Do you have experience with heavy GPU chassis (50kg+)?
Yes. We utilize proper data center lifts and safety protocols to rack heavy 4U/8U systems like the Dell XE9680 or Supermicro HGX nodes.
Can you support High-Density (20kW+) racks?
Absolutely. We are experienced in PDU cabling for high-power racks (3-phase feeds). We pay special attention to cable management to ensure unobstructed airflow.
How fast can you deploy a new AI cluster?
For typical projects (e.g., 2–4 racks), we can usually start within 24-48 hours. We can assign multiple engineers to work in parallel to meet tight startup deadlines.