PCI-SIG releases the next PCI Express bus specification

The Peripheral Component Interconnect Express (PCIe) 6.0 specification doubles the data rate to deliver 64 giga-transfers-per-second (GT/s) per lane.

For a 16-lane configuration, the resulting bidirectional data transfer capacity is 256 gigabytes-per-second (GBps).

Al Yanes

“We’ve doubled the I/O bandwidth in two and a half years, and the average pace is now under three years,” says Al Yanes, President of the Peripheral Component Interconnect Special Interest Group (PCI-SIG).

The significance of the specification’s release is that PCI-SIG members can now plan their products.

Users of FPGA-based accelerators, for example, will know that in 12-18 months there will be motherboards running at such rates, says Yanes.

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Waiting for buses: PCI Express 6.0 to arrive on time

• PCI Express 6.0 (PCIe 6.0) continues the trend of doubling the speed of the point-to-point bus every 3 years.
• PCIe 6.0 uses PAM-4 signalling for the first time to achieve 64 giga-transfers per second (GT/s).
• Given the importance of the bus for interconnect standards such as the Compute Express Link (CXL) that supports disaggregation, the new bus can’t come fast enough for server vendors.

The PCI Express 6.0 specification is expected to be completed early next year.

Richard Solomon

So says Richard Solomon, vice-chair of the PCI Special Interest Group (PCI-SIG) which oversees the long-established PCI Express (PCIe) standard, and that has nearly 900 member companies.

The first announced products will then follow later next year while IP blocks supporting the 6.0 standard exist now.

When the work to develop the point-to-point communications standard was announced in 2019, developing lanes capable of 64 giga transfers-per-second (GT/s) in just two years was deemed ambitious, especially given 4-level pulse amplitude modulation (PAM-4) would be adopted for the first time.

But Solomon says the global pandemic may have benefitted development due to engineers working from home and spending more time on the standard while demand from applications such as storage and artificial intelligence (AI)/ machine learning have been driving factors.

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