Frequently Asked Questions

Both air coolers and liquid coolers provide effective CPU cooling. Air coolers are known for their reliability, simplicity, and low maintenance, while liquid coolers are well suited for high-performance processors and sustained heavy workloads. The best option depends on your CPU, PC case compatibility, and cooling requirements.

In general, a larger radiator offers greater heat dissipation capacity, which can improve cooling performance under heavy workloads. However, overall cooling efficiency also depends on factors such as fan performance, pump design, case airflow, and CPU power consumption.

TDP (Thermal Design Power) is a thermal design guideline rather than the maximum CPU power consumption. Modern processors can exceed their rated TDP during boost workloads, so CPU coolers should be selected based on the processor’s sustained power consumption and manufacturer recommendations.

ATX 3.0 and ATX 3.1 are PSU design standards developed by Intel to improve compatibility with modern hardware.

ATX 3.0: Introduced support for PCIe 5.0 graphics cards and the 12VHPWR connector, designed for high transient power loads.
ATX 3.1: Updated the power specification with improved transient response requirements and introduced the newer 12V-2x6 connector, which provides better connection reliability and safety.

ATX 3.1 builds on the ATX 3.0 standard with improved connector design and updated power delivery requirements, providing better compatibility with the latest graphics cards.

80 PLUS certification measures PSU energy efficiency under different load levels. Bronze through Platinum are tested at 20%, 50%, and 100% load, while Titanium also includes a 10% load efficiency requirement.

Common certification levels: 80 PLUS Bronze / Silver / Gold / Platinum / Titanium.

Higher certifications generally mean better efficiency, lower energy waste, and reduced heat output. However, 80 PLUS certification mainly reflects efficiency performance and does not fully represent overall PSU quality. Factors such as component quality, circuit design, protection features, and reliability are also important.

Yes. A more efficient PSU converts more AC power into usable DC power while generating less wasted energy as heat. Higher-efficiency power supplies can help reduce power consumption, lower operating temperatures, and improve overall system efficiency, especially during extended use.

An AI workstation is a high-performance computer designed for artificial intelligence, machine learning, deep learning, and data-intensive workloads. Compared to a standard desktop PC, an AI workstation typically features more powerful CPUs, one or more high-performance GPUs (including consumer GeForce RTX or professional RTX GPUs depending on workload), larger memory capacity, faster storage, and better cooling to handle demanding AI applications efficiently.

Building an AI workstation requires selecting hardware that can support intensive computing workloads. Key components include:
• A high-performance CPU
• One or more powerful GPUs
• High-capacity system memory
• Fast NVMe SSD storage
• A reliable high-wattage power supply
• Efficient CPU cooling
• A high-airflow PC case
• PCIe lane availability
• GPU spacing
• PSU connector planning

Choosing compatible, high-quality components helps maximize performance and system stability.

Although AI workstations and gaming PCs may use similar hardware, they are designed for different workloads. AI workstations prioritize sustained computing performance, scalability, and reliability for AI development, while gaming PCs are primarily optimized for gaming performance and graphics rendering.

Yes. A properly configured AI workstation can also run modern games. However, its hardware configuration is typically selected to prioritize AI development, content creation, or professional computing workloads.

Yes. Most AI workstations are built using standard PC components, including compatible motherboards, CPUs, GPUs, memory, storage, cooling solutions, power supplies, and PC cases. The key is selecting components that meet the performance, power, and cooling requirements of your workload.

Not necessarily. One of the main advantages of a liquid cooling solution is reduced noise. For high-performance AI workstations that require a quiet operating environment, liquid cooling is often the preferred choice.