![]() ![]() This promise is largely due to the compact footprint of silicon-on-insulator (SOI) devices, the compatibility of SOI photonics processes with the ubiquitous complementary metal–oxide–semiconductor (CMOS) infrastructure used to fabricate microelectronic chips, and the tremendous inherent parallelism provided by optics through dense wavelength-division multiplexing (DWDM) 4, 5. Optical interconnects based on silicon photonics have been widely recognized as a promising avenue for interconnects to keep pace with these ever-growing bandwidth demands while additionally decreasing energy consumption compared to their electrical counterparts. Furthermore, the energy consumption of such data centres has become environmentally significant 3 and will be dominated by interconnect energy in the aforementioned communication-intensive workloads. Bandwidth-hungry applications such as artificial intelligence and machine learning severely strain the current interconnects within these systems, threatening to halt further performance scaling without substantial changes to the physical hardware used to pass data between nodes 1, 2. With the rise of cloud-based computing, computational workloads have largely been offloaded from local machines onto the server racks of hyperscale data centres and high-performance computers. The demonstrated architecture is fundamentally scalable to hundreds of wavelength channels, enabling massively parallel terabit-scale optical interconnects for future green hyperscale data centres. Here we demonstrate a massively scalable chip-based silicon photonic data link using a Kerr comb source enabled by a new link architecture and experimentally show aggregate single-fibre data transmission of 512 Gb s −1 across 32 independent wavelength channels. Although previous high-bandwidth demonstrations have relied on benchtop equipment for filtering and modulating Kerr comb wavelength channels, data-centre interconnects require a compact on-chip form factor for these operations. Through wavelength-division multiplexing with chip-based microresonator Kerr frequency combs, independent information channels can be encoded onto many distinct colours of light in the same optical fibre for massively parallel data transmission with low energy. Using light to send information between compute nodes in such systems can dramatically increase the available bandwidth while simultaneously decreasing energy consumption. ![]() Data movement, dominated by energy costs and limited ‘chip-escape’ bandwidth densities, is perhaps the singular factor determining the scalability of future systems. The growth of computing needs for artificial intelligence and machine learning is critically challenging data communications in today’s data-centre systems. ![]()
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