PCI-SIG introduces industry standard for PCIe over optical fiber

PCI-SIG launches optical aware retimer specification to bring PCI Express performance to fiber-connected data centers and Artificial Intelligence workloads.

PCI-SIG has unveiled a significant amendment to its PCI Express (PCIe) technology portfolio, announcing an optical interconnect specification that leverages fiber optics to drive PCIe performance to new heights. The update, known as the Optical Aware Retimer Engineering Change Notice (ECN), updates both the current PCIe 6.4 specification and the upcoming PCIe 7.0 specification. At its core, this ECN introduces for the first time a standardized method for transporting PCIe signals over long distances using optical fiber, enabled through a retimer-based approach.

The optical aware retimer solution directly addresses growing demand for modular, high-speed, and long-reach PCIe connectivity. Data center requirements—particularly those involving Artificial Intelligence, machine learning, and cloud computing—have long outpaced traditional copper cabling´s reach and speed limitations. By standardizing PCIe over fiber, PCI-SIG is offering a future-proof connectivity path for environments where bandwidth, distance, and reduced signal degradation are paramount.

According to Al Yanes, PCI-SIG president and chairperson, the new specification responds to a clear market need for optical PCIe interconnects. While initial rollouts are expected within data center applications, especially those supporting Artificial Intelligence and cloud workloads, Yanes believes the modular nature of the optical solution will eventually unlock innovative PCIe use cases beyond current horizons. As the cost and availability of PCIe optical solutions improve over time, market adoption is expected to expand, introducing high-speed fiber-based PCIe to a wider array of computing segments.

72

Impact Score

Artificial Intelligence speeds quantum encryption threat timeline

Research from Google and Oratomic suggests quantum computers capable of breaking core internet encryption may arrive sooner than expected. Artificial Intelligence played a key role in improving one of the new algorithms, raising fresh urgency around post-quantum security.

New methods aim to improve Large Language Model reasoning

A new study on arXiv outlines algorithmic techniques designed to strengthen Large Language Model reasoning and reduce hallucinations. The work reports better logical consistency and stronger performance on mathematical and coding benchmarks.

Nvidia acquisition of SchedMD raises Slurm neutrality concerns

Nvidia’s purchase of SchedMD has given it control of Slurm, an open-source scheduler that sits at the center of many supercomputing and large-model training systems. Researchers and engineers are watching for signs that support could tilt toward Nvidia hardware over AMD and Intel alternatives.

Mustafa Suleyman says Artificial Intelligence compute growth is still accelerating

Mustafa Suleyman argues that Artificial Intelligence development is being propelled by simultaneous advances in chips, memory, networking, and software efficiency rather than nearing a hard limit. He contends that rising compute capacity and falling deployment costs will push systems beyond chatbots toward more capable agents.

China and the US are leading different Artificial Intelligence races

The US leads in large language models and advanced chips, while China has built a major advantage in robotics and humanoid manufacturing. That balance is shifting as Chinese developers narrow the gap in model performance and both countries push to combine software and machines.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.