Custom AI-powered GPU servers and graphics workstations fall under professional technical services, typically categorized as follows:

1. Hardware Customization Services

• Enterprise IT Hardware Customization: Tailored configurations based on client needs (e.g., deep learning training, HPC, 3D rendering), including:

• Hardware selection (GPU models, CPU, RAM, storage).

• Thermal and power optimization.

• Chassis design and scalability (multi-GPU support, rack/tower form factors).

2. Industry-Specific Solutions

• AI/HPC Solutions:

• Turnkey hardware-software solutions for machine learning, scientific computing, or rendering.

• May include pre-configured environments (CUDA drivers, DL frameworks like TensorFlow/PyTorch).

• Edge Computing/Data Center Deployment: Hardware optimized for scenarios like autonomous driving or medical imaging.

3. Value-Added Services

• Technical Consulting & Support:

• Performance tuning, compatibility testing, long-term maintenance.

• Software stack deployment (Kubernetes clusters, distributed training support).

• Leasing/Hosting: Some vendors offer hardware-as-a-service (HaaS) or bare-metal cloud options.