We accelerate AI computing
with 100x energy efficiency
and chip computing density
Scaling CMOS-based processors is increasingly challenging due to the slowdown of Moore's Law and the breakdown of Dennard scaling; data movement with electronic wires (capacitive loss) limit clock speeds and lead to thermal dissipation.
Opticore patented optical processing units (OPUs) are designed to handle memory-intensive AI tasks with on-chip data movement and computation with photonic integrated circuits. Our prototype achieves 100x higher energy efficiency and 100x greater computing density than digital electronics. Fully integrated with foundry-based, co-packaged optoelectronics, the system promises to lead breakthroughs in the next era of high performance computing in data centers.
Throughput
Power
Chip area
Memory bandwidth
AI Mode scalability
1,000 POPS (single chip)
< 5 KW
1560 mm2
480 TB/s (300 HBMs)
Trillion matrix elements
Alex was CIO at Keshik Capital, a multi-strategy fund based in Singapore and now runs a family office. Previously, Alex worked at leading global investment banks and hedge funds. He has close to two decades of experience managing multi-asset portfolios and investing in public and private corporate securities and derivatives. Alex also conducts research on energy and security with the Australian National University and has published in top journals. Alex has a degree in economics, and he speaks English and Mandarin.
ECE Professor at MIT,
PhD in Applied Physics, Stanford,
B.S. Caltech,
Awards: Presidential Early Career Award, Humboldt Professorship, DARPA Young Faculty Award.
Co-founder of DUST Identity (Security company), QuEra Computing (quantum control), Advisor of Lightmatter (optical computing)
First demonstration of integrated photonics for deep learning, spinning off Lightmatter and Lightelligence
Postdoc, UC Berkeley
PhD, KAIST (Korea)
Bachelor: Seoul National University
Skills: photonics and microwave simulation, chip layout designs, and fabrication
MIT Postdoc fellow,
PhD, Electrical Engineering, Boston University
Awards: Charles L. Newton Prize, John F. Flagg Prize, for outstanding students. Wilder Trustee Scholarship, Xerox Engineering Research fellowship
Adam was the Partnership Development Manager and Tax Advisor at Carta, a leading capitalization table management company backed by prominent investors such as Andreessen Horowitz, Tribe Capital, and Union Square Ventures. Prior to Carta, Adam honed his expertise at EY, where he played a pivotal role in scaling multiple tax startups and practices to achieve seven-figure ARR after the first year of joining. Recognized for his innovative approach, Adam has been featured in Berkeley Haas News and a16z articles for his outreach and impact. He is a proud graduate of UC Berkeley’s Haas School of Business.
Assistant Professor, EECS, UC Berkeley
Postdoc, Harvard University
PhD, Cornell University & Columbia University
Awards: 2023 DARPA Young Faculty Award, 2023 Optica Foundation Award, 2020 The Optical Society (OSA) Ambassador, 2019 The Rising Stars, 2019 Caltech’s 2019 Young Investigator Lecturer, 2016 Maiman Student Paper Competition at CLEO, 2016 Emil Wolf Student Paper Competition
Assistant Professor, EECS, UC Berkeley
Postdoc researcher, MIT
PhD, Max-Planck Institute-Quantum Optics,
Awards: 2023 DARPA NaPSAC, 2024 DARPA INSPIRED, Sony Faculty Research Award, 2023 SPIE AI/ML best paper Award, 2023 Optica foundation award
Demonstration of the Opticore computing with 100x more energy efficiency, Nat. Photonics 2023
Research Scientist, MIT
Senior Scientist: NTT PHI lab
PhD, Stanford University
Bachelor: Caltech
Awards: Intelligence Community fellowship
Theory proposal and analysis for the OptiCore computing architecture, R. Hamerly, PRX 2019
Development
Fremont (CA)/Remote
We are seeking an experienced Sr Chip Design Engineer to lead the development of innovative chip architectures.
Design and implement complex chip architectures.
Collaborate with cross-functional teams to optimize performance and efficiency.
Conduct testing and validation of chip designs.
Development
Fremont (CA)/Remote
Opticore is looking for a Software Engineer to design and develop software solutions for our advanced computing products.
Develop and maintain software applications for high-performance computing.
Collaborate with hardware engineers to ensure seamless integration of software and hardware.
Development
Fremont (CA)/Remote
We are seeking a dynamic Product Manager to drive the strategy and execution of our advanced computing solutions portfolio.
Define product vision and strategy based on market research and customer feedback.
Collaborate with engineering, marketing, and sales teams to launch new products.
- MIT news
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