FMP
Jun 24, 2025 7:28 AM - Parth Sanghvi
Image credit: 🇻🇪 Jose G. Ortega Castro 🇲🇽
Chinese researchers have unveiled Meteor-1, the world's first highly parallel optical computing chip, boasting a theoretical 2,560 TOPSat 50 GHz—on par with NVIDIA's flagship RTX 4090 price target summary price-target-summary and closing in on the RTX 5090.
Meteor-1 leverages a multi-wavelength design to process over 100 tasks in parallel, delivering ultra-high speed, minimal latency, and drastically lower power consumption compared to traditional electronic GPUs.
Optical vs. Electronic: By routing light instead of electrons, Meteor-1 sidesteps Joule heating and interconnect bottlenecks that limit MOSFET-based chips.
Parallelism at Scale: The chip's waveguide arrays enable simultaneous vector operations, multiplying throughput without proportionally increasing energy draw.
2,560 TOPS @ 50 GHz: Matches the inference performance of NVIDIA's price target summary and approaches the 3,352 TOPS of the upcoming RTX 5090.
U.S. export controls have curtailed China's access to cutting-edge semiconductors, making optical computing a strategic priority:
Self-Reliance: Meteor-1, developed by Shanghai Institute of Optics and Fine Mechanics and Nanyang Technological University, showcases Beijing's push for indigenous AI hardware.
Data-Center Implications: Optical chips like Meteor-1 could unlock exascale AI workloads in hyperscale data centers, reducing cooling and power infrastructure costs.
Investors monitoring NVIDIA's valuation and credit standing can track its financial health using the Company Rating & Information API. As optical alternatives emerge, NVIDIA's roadmap—and its current price target—will be critical to gauge competitive positioning.
Investor Takeaway: Meteor-1's breakthrough performance marks a pivotal shift toward optical AI accelerators. By comparing its 2,560 TOPS throughput against NVIDIA's leading GPUs and monitoring NVIDIA's evolving credit profile, investors can assess the impact of optical computing on the semiconductor landscape.
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