Oriole Networks has secured $22 million from Plural to develop a light-based networking infrastructure for AI supercomputing, addressing the industry's electricity demands and data processing speed.
As tech companies strive for larger data centers with numerous GPUs for AI training, conventional networking equipment is becoming a bottleneck, resulting in a shift toward photonic solutions.
The rise of photonics is attributed to challenges with traditional copper wiring and limited fiber optic capabilities, which hinder the efficient training of expansive AI models.
Major funding rounds for other photonic network companies like Lightmatter and Xscape underscore a growing trend in leveraging light for faster and more energy-efficient data transmission.
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