What is PCIe 6.0 and what will be its improvements and specifications for PC

With this new regulation, SSD memories will be able to reach up to 28 GBps of information exchange.


After months of work, the PCI Special Interest Group (PCI-SIG), the body responsible for the computer standard, has announced the official specifications of PCIe 6.0 , a standard that promises great data reading on SSD  and RAM memories.  for computers.

The PCIe or Peripheral Component Interconnect Express bus or ports are inside the computer motherboard to connect different types of peripherals. The term bus is applied to the set of physical connections that are used to connect hardware components to each other and maintain lanes for the exchange of information at the maximum speed available.

With improvements since the 90s, the arrival of PCIe 6.0 is now expected , which will bring higher reading speeds for our PC.

PCIe 6.0 is almost here

The PCI Special Interest Group has released the final specifications for PCIe 6.0 , doubling the bandwidth over version 5.0 to a theoretical maximum bidirectional speed of 256 GBps in a x16 slot (up to 16 lanes). With respect to PCIe 4.0 , the bandwidth is being quadrupled.

With this improvement, you can expect to see SSD memory that can go up to 28 GBps in the future.

The PCIe 6.0 architecture also maintains backward compatibility with all previous generations of PCIe. That will allow any existing hardware using older specs to work on those ports and will certainly help with adoption and transition to this new spec.

While PCIe 5.0 is still in its infancy and is being demonstrated with enterprise-grade SSDs (the current standard was finalized in 2019, but it wasn’t until a few weeks ago in the buildup to CES 2022 that Samsung and Adata showed off the first supported SSDs) , we shouldn’t expect to see PCIe 6.0 hardware for another few years. We’re just getting used to seeing PCIe 5.0, so massively we won’t see PCI 6.0 until around 2023 or 2024.

The PCI Special Interest Group says “initial target applications” for the technology include artificial intelligence and machine learning, data center networking and storage, industrial, automotive and military.