Opticore CEO discusses optical compute
Zaijun Chen highlights optical chip co-processors to reduce energy use, noting that reliability and packaging are key challenges for scaling.
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Photonic chip developer for artificial intelligence computing
opticore.aiLast updated
In short: Opticore raised $14M for photonic AI chips and showcased its photonic crossbar work at Hot Chips 2026, targeting 100x lower energy.
Zaijun Chen highlights optical chip co-processors to reduce energy use, noting that reliability and packaging are key challenges for scaling.
The reviewer highlights superior calibration, zero photodiode failures via face-to-face packaging, and high-speed PAM16 ring modulators comparable to Nvidia.
Zaijun Chen speaks at CASPA x PSC Fall Symposium discussing AI scaling challenges and infrastructure solutions with industry peers.
David Dolt and Yuan Li showcase large-scale homodyne photonic crossbar architecture for efficient tensor processing on August 24th.
At ATxSG, Tara Neal spoke with Milan Blagojevic, Director of Opticore, about the growing demands on digital infrastructure as enterprises scale AI-driven operations. Milan highlighted...
Opticore, a Berkeley, CA-based AI computing company developing a photonic computing chip, raised $7.5M in funding...
Enabling energy-efficient AI with breakthrough advances in compute efficiency BERKELEY, CA / ACCESS Newswire / September 10, 2025 / Opticore secured $7.5 million in additional...
Enabling energy-efficient AI with breakthrough advances in compute efficiency BERKELEY, CA / ACCESS Newswire / September 10, 2025 / Opticore secured $7.5 million in additional...
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