Radiance PC CoreIA 64 RTX 5090

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

Key takeaways:

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

The case also influences the overall aesthetics of the machine.

Role: Manage overall system responsiveness, multitasking, data preparation, and certain computation tasks.

Key takeaway:

The higher the number of cores, the more comfortable the system is with:

• running multiple applications simultaneously,
  
• preparing data for AI,
  
• compiling, encoding, or processing CPU loads.
  

Role: maintain consistent performance over time and avoid any frequency drops related to temperature.

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

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

Role: Ensure the compatibility, stability, and scalability of the workstation.

Key takeaway:

More comprehensive motherboards offer:

• more ports (USB, USB-C),
  
• more SSD slots,
  
• better power delivery to components,
  
• often integrated Wi-Fi and Bluetooth.
  

This facilitates future upgrades.

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

Key takeaways:

• 32 GB: Recommended baseline for local AI, development, and inference
  
• 64 to 96 GB: High comfort for RAG, computer vision, and more complex projects
  
• 128 to 192 GB: Suitable for heavy loads, large datasets, and advanced professional use
  

High memory capacity allows you to process more data simultaneously and avoid slowdowns during intensive loads.

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

Key takeaways:

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

Key takeaways:

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

High speeds primarily improve copying and loading of large files.

Role: Add fast storage 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: Provide stable and reliable power to the entire system.

Key takeaways:

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

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

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

Role: Wireless connectivity for the network and peripherals.

Key takeaways:

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

There's no need to add a solution if the motherboard already has 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.