Inter-Chip Interconnect
Also written: ICI
A fast connection between chips that lets them work together on big jobs.
Inter-chip interconnects, or ICIs, are like super-fast highways built directly between computer chips. They allow multiple chips inside a single computer or server to share information and coordinate their work very quickly.
This is important for AI because training large models or running complex AI tasks often requires more power than a single chip can provide. ICIs let many chips work together as if they were one giant, powerful chip, speeding up these demanding jobs.
Inter-Chip Interconnect (ICI) refers to the high-bandwidth, low-latency communication links that enable multiple processing units, such as GPUs or TPUs, to exchange data efficiently within a single system. These links are critical for scaling AI workloads, particularly for distributed training and inference, by facilitating rapid data transfer and synchronization between compute nodes.
ICI technologies vary, including on-package interconnects like NVLink for NVIDIA GPUs and chiplet interfaces, as well as board-level connections. The performance of ICI directly impacts the efficiency of distributed computing, as it can become a bottleneck if not matched to the compute capabilities of the connected chips.
Google Gemini's recent announcement about supporting Ray on TPUs highlights the growing need for efficient communication between accelerators. As AI models become larger and more complex, the performance of inter-chip interconnects becomes a key factor in enabling distributed training and inference on specialized hardware.
- Run Ray on TPU, Part 1: The foundationsGoogle · Google Developers Blog ·
- Google Gemini
- Google Gemini utilizes high-speed interconnects within its TPU pods to enable efficient distributed training and inference of its large AI models.
- Network Interface Card (NIC)
- A NIC connects a computer to a network, enabling c
- PCIe
- PCIe is a common bus standard for connecting peripherals to a motherboard,
- InfiniBand
- InfiniBand is a high-speed interconnect primarily used for networkin
The concept of inter-chip communication is fundamental to computer architecture. Specific high-performance interconnects like NVLink were developed by NVIDIA, while chiplet interconnect standards are evolving within the industry.
While you can't directly interact with ICIs, you can observe their impact by running distributed AI workloads. For example, using libraries like Ray on Google Cloud TPUs allows you to distribute a Python task across multiple accelerators, relying on the underlying ICIs for fast communication.
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Questions people ask
- Why are fast connections between chips important for AI?
- AI models, especially large ones, require massive amounts of computation. ICIs allow multiple chips to work together efficiently, sharing data quickly so they can complete complex AI tasks much faster than a single chip could.
- Are all connections between chips the same?
- No, there are different types of connections. ICIs are specifically designed for very high speed and low delay between chips within the same system, unlike standard network connections that link separate computers.
First seen on Subvolts Sep 3, 2026. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.