NVIDIA Bets Over $6.5 Billion on Photonics Technology to Enhance AI Infrastructure and Tackle 'Data Transfer Bottleneck'
BlockBeats News, May 30, Nvidia has pledged a total of at least $6.5 billion to invest in photonics and optical networking companies since March this year to address the data transmission and energy consumption bottlenecks faced by AI data centers.
It is reported that Nvidia has invested $2 billion each in Lumentum, Coherent, and Marvell, and $500 million in Corning for optical interconnect system R&D, while participating in a $500 million Series E funding round for the optical startup Ayar Labs.
Photonics technology uses light signals to transmit data instead of traditional copper wire electrical signals, which can significantly increase bandwidth and reduce energy consumption. It is seen as the core infrastructure of the next-generation AI data center. As AI model scales continue to grow, the demand for data exchange between thousands of GPUs has surged, and network interconnection is becoming a new bottleneck after computing chip power.
Nvidia CEO Jensen Huang said at the GTC conference in March that the company is accelerating the application of silicon photonics technology to network platforms and GPU interconnection systems. The related production capacity demand has far exceeded the current global supply capacity.
Analysts pointed out that the high-speed optical interconnection demand for AI cabinet systems is rapidly growing, and the optical module, laser, and fiber optics industries are expected to continue to benefit. Driven by Nvidia's investment, Lumentum's stock price has risen by over 130% this year, and Coherent and Marvell have also shown significant strength.
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