Radiance PC CoreAI 32 RTX 5070 Ti

Role: to ensure efficient airflow, maintain stable temperatures over time and protect components.

Key points to remember:

A well-ventilated case improves stability under long workloads (computation, inference, data processing) and reduces noise. More compact form factors require stricter thermal management.

The casing also influences the overall aesthetics of the machine.

Role: to manage the overall responsiveness of the system, multitasking, data preparation and certain computational tasks.

Key points to remember:

The higher the number of cores, the better the system is at:

• run multiple applications simultaneously,
  
• preparing data for AI,
  
• compile, encode or process CPU loads.
  

Role: to maintain consistent performance over time and avoid any frequency drop due to temperature.

• Air cooling : a reliable, quiet and durable solution.
  
• Watercooling (AIO) : better temperatures under continuous load and more compact integration.
  

Key takeaway: good cooling is essential for the prolonged workloads typical of AI.

Role: to ensure the compatibility, stability and scalability of the station.

Key points to remember:

More comprehensive motherboards offer:

• more ports (USB, USB-C),
  
• more SSD slots,
  
• improved power supply to the components
  
• often with built-in Wi-Fi and Bluetooth.
  

This facilitates future developments.

Role: to temporarily store data being processed and enable smooth work on large volumes of information.

Key points to remember:

• 32 GB : recommended minimum for local AI, development, and inference
  
• 64 to 96 GB : ample storage for RAG, computer vision, and more complex projects
  
• 128 to 192 GB : suitable for heavy workloads, large datasets, and advanced professional uses.
  

High memory capacity allows for processing more data simultaneously and avoids slowdowns during intensive workloads.

Role: to accelerate AI calculations (inference, generation, vision, parallel computing).

Key points to remember:

Video memory (VRAM) is crucial:

• The higher it is, the more complex models you can run locally.
  
• The GPU directly influences AI performance, much more so than the CPU in most cases.

Role: to host the system, applications and ensure fast access to data.

Key points to remember:

• 1TB is the recommended minimum.
  
• 2TB or more offers more comfort for projects, models and datasets.
  

High speeds are especially beneficial for copying and uploading large files.

Role: to add a fast storage space dedicated to projects, AI models or working data.

Role: secondary storage.

• SATA SSD : silent and responsive for secondary data
  
• HDD : large capacity at a lower cost, but slower

Role: to provide stable and reliable power to the entire system.

Key points to remember:

The selected power supply is always sufficient for the chosen configuration.

If you are planning for future upgrades (more powerful GPU, adding components), it is recommended to allow for a power margin.

Gold- certified power supplies are more efficient, quieter, and more durable.

Role: Wireless connectivity for the network and peripherals.

Key points to remember:

A PCIe card is more stable and performs better than a USB flash drive.

There's no need to add a solution if the motherboard already integrates these features.

Role: software work environment.

By default, Windows 11 Professional is installed and activated.

You can also choose:

• the system language,
  
• a dual boot Windows 11 Pro + Ubuntu LTS ,
• Ubuntu
  
• or an installation without a system.