GPU Cards
Graphics cards for AI experimentation, local inference, rendering, computer vision and professional workstation performance.
- NVIDIA RTX GPU cards
- High-VRAM AI cards
- Rendering acceleration
- Computer vision workloads
- Workstation GPU upgrades
SYSTEMS STUDIO E-SHOP
GPU Components
Graphics and acceleration components for AI processing, rendering, model inference, computer vision, workstation upgrades and local AI infrastructure.
Cooling Accessories
Cooling components for keeping GPU systems stable during long workloads, rendering sessions, model testing and 24/7 infrastructure use.
- GPU cooling support
- Case airflow components
- High-performance fans
- Thermal management parts
- Workstation airflow planning
Power Components
Power-related components for GPU workstations, AI nodes and stable high-load technical computer systems.
- Power supply units
- GPU power adapters
- PCIe power cabling
- Surge protection planning
- Power capacity checks
Curated Product Examples
These example products represent GPU and power-support hardware suitable for Systems Studio AI infrastructure, rendering, computer vision, workstation upgrades and local inference workflows.
Workstation GPU
NVIDIA RTX 4000 Ada Generation
Professional single-slot workstation GPU for CAD, visualization, rendering, computer vision experiments and compact AI-capable workstations.
- 20 GB GDDR6 ECC memory
- 130 W max power consumption
- PCIe Gen4 x16 interface
- Single-slot active cooling
- Good fit for compact professional systems
High-VRAM AI GPU
NVIDIA RTX 5000 Ada Generation
Higher-performance professional GPU for AI workflows, rendering, simulation, visualization, large datasets and demanding compute workloads.
- 32 GB graphics memory
- 12,800 CUDA cores
- 4th-gen Tensor Cores
- Professional rendering and AI workloads
- Strong workstation upgrade path
GPU Power Support
Corsair RM1000x SHIFT PSU
Fully modular power supply for GPU workstations, high-load technical PCs, AI nodes and stable professional desktop infrastructure.
- 1000 W continuous power
- 80 PLUS Gold efficiency
- Fully modular cabling
- ATX 3.1 / PCIe 5.1 support
- Suitable for GPU workstation builds
Product Scope
GPU components are central to local AI infrastructure. They provide the acceleration needed for model inference, image processing, rendering, visualization, computer vision, and AI-assisted engineering workflows.
For Systems Studio, GPU selection links directly to AI capability: VRAM capacity, CUDA support, cooling, power stability, workstation compatibility and future upgrade paths.
Typical Selection Criteria
Important criteria include GPU generation, VRAM size, CUDA and AI framework support, physical card size, power draw, PSU capacity, cooling design, noise level, driver support, and compatibility with the workstation chassis.
Acceleration hardware for AI infrastructure
GPU components provide the processing power behind local AI, computer vision, rendering, technical visualization and high-performance engineering workstations.