Why don't we use the fastest possible processors in all devices?

Last Updated: 30.06.2025 09:07

Why don't we use the fastest possible processors in all devices?

A normal desktop or laptop CPU like the Intel i9-14900KS or AMD Ryzen 9 9950X3D is cheaper, more efficient, and better suited for everyday computing.

The 7995WX is a massive workstation CPU that requires a large motherboard (sTR5 socket) and specialized TRX50/WRX90 chipsets. It won’t fit in a laptop or even most consumer desktop PCs.

Priced at $10,000+, it’s far too expensive for regular users. Most people don’t need 96 cores and 192 threads for daily tasks like gaming, web browsing, or office work.

Why do creationists ask for proof of evolution and then ignore the answers?

It has a TDP (Thermal Design Power) of 350W, which is much higher than standard CPUs (Intel i9-14900KS = 125W). Requires a high-end PSU (power supply unit) and extreme cooling solutions like custom liquid cooling. Do you want this thing inside your smartphone?

Then, the manufacturers also need to reach larger market. Not all consumer would pay for the fastest device. Some can use device using lower speed processors.

Let’s see. The fastest available processor is now (March 2025) AMD Ryzen Threadripper PRO 7995WX.

Do Republicans want to ban books and decide what your kids can and can’t read?

Most software (e.g., web browsers, games, basic applications) does not utilize that many cores. Gaming prefers high clock speeds, while the 7995WX is optimized for multi-threaded workloads like 3D rendering, AI training, and simulations.

And, this happens every time. Once you buy the fastest processor available, there would be faster processor available — faster than what you just buy. If you keep waiting for the fastest one, you will never get any device.

So it’s not possible to use the fastest prcessor on ALL device.

Does the National Health Service (NHS) in the United Kingdom diagnose rare conditions? If so, does it provide treatment for them as well?

The 7995WX is designed for professionals in industries like VFX, engineering, and AI research.