The PCI-SIG has officially unveiled the specifications for PCI Express 8.0, boasting impressive data transfer capabilities of up to 256 GT/s and a staggering bandwidth of 1 TB/s.
PCI Express 8.0 Specifications Finalized: Unmatched Transfer Rates and Bandwidth for Future Servers
Press Release: PCI-SIG has announced that the PCI Express (PCIe) 8.0 specification will double the performance of the current PCIe 7.0, achieving transfer rates of 256 GT/s and is anticipated to be released to members by the year 2028.
Key objectives for the development of the PCIe 8.0 specification by PCI-SIG technical workgroups include:
- Providing a raw bit rate of 256 GT/s and up to 1 TB/s bi-directionally using an x16 configuration.
- Exploring advancements in connector technology.
- Ensuring targets for latency and Forward Error Correction (FEC) are met.
- Maintaining high reliability standards.
- Ensuring backward compatibility with previous PCIe versions.
- Implementing enhancements to bandwidth protocols.
- Continuing initiatives to reduce power consumption.
Al Yanes, President and Chairperson of PCI-SIG, expressed his enthusiasm for the PCIe 8.0 specification, stating, “After the recent launch of PCIe 7.0, we’re thrilled to inform the industry that PCIe 8.0 will again double the data transfer rate to 256 GT/s. This evolution continues our commitment to doubling bandwidth approximately every three years to support advanced applications.” He emphasized the growing demands in fields such as AI, highlighting the persistent need for enhanced performance and throughput.
Reece Hayden, Principal Analyst at ABI Research, noted, “The demand for PCIe technology will remain strong as AI and data-heavy applications continue their rapid expansion. Data centers are transitioning to PCIe 6.0 technology while also expressing interest in PCIe 7.0. The upcoming PCIe 8.0 will be crucial in fulfilling the industry’s future bandwidth needs.”
The PCIe 8.0 specification is designed to cater to a variety of emerging applications, particularly in technological fields such as Artificial Intelligence and Machine Learning, high-speed networking, Edge computing, and Quantum computing. It also targets sectors that require high data volume handling, including automotive, hyperscale data centers, high-performance computing (HPC), and military/aerospace applications.
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