
Optical frequency combs generate many wavelengths from a single laser instead of using separate lasers per channel, cutting power, cost, and failure points as AI data centers scale to 16+ wavelengths per fiber.
Optical frequency comb generators produce many wavelengths of light from a single laser source instead of requiring separate lasers for each wavelength channel, which reduces power consumption, cost, and points of failure. As AI data centers increase the number of wavelengths transmitted through fiber optic cables from four to eight, 16, or 32 channels, conventional laser arrays become harder to manufacture reliably and consume more power and space. Comb-based systems set their wavelength spacing through the physical design of the resonator rather than individual tuning, allowing them to scale more efficiently as channel density increases. While the technology has existed in telecom research for years, standardized modules and high-volume manufacturing remain in development, with industry adoption expected to accelerate once standardized external laser source modules become available and manufacturing yields improve.

Under the One Big Beautiful Bill Act, data center projects in rural areas could be eligible for major tax benefits starting next year. Some hyperscalers do not seem eager to take the free cash.

The price of anything with memory is skyrocketing thanks to AI. Aging streaming devices are no exception.
NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when workloads grow. The direct message is: Run open models and always-on agents on your own desk, then cluster DGX Spark system as the work grows – instead of on a metered API. The ti
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