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Combining unique photonic processors and brain-inspired architecture, pure-photonic computing systems can harness the immense speeds of optical communication and directly compute while data is streaming through fibers and glass Chiplets. Computing with photons from start to end, avoiding any photons-to-electrons conversion as well as any system bottlenecks, CogniFiber Deep Light Architecture can outperform the most advanced solutions over 1000X in every way.
DeepLight IP and Architecture were reviewed and endorsed by industry leaders from companies such as Intel, Seagate, AMD-Xilinx and others.
* DeepLight processors are expected 2023-2024
Following previous PoCs and two investment rounds, CogniFiber has recently completed its Aurora system, the first world-wide pure-photonic system demonstrator.
Aurora reaches a staggering 100 million machine learning inferences each second, while consuming 270 Watt only, less than a single silicon chip.
While Aurora will be showcased with CogniFiber’s design partners, and is targeting small machine learning models, the company has already made significant progress toward the production of its first DeepLight processors, the core technology of CogniFiber’s future products which targets any model size.
| 2023 | DeepLight Processor 1.0 Manufactured Aurora Partnership Program and Deployments |
| 2024 | DeepLight Processor 2.0 Manufactured DeepLight MVP System Assembly + Client LOI DeepLight Processor Licensing Customer |
| 2025 | Datacenter DeepLight Cabinet Sale/Lease |
Here’s why:
While many are adding photons to the mix and creating photonic processors within hybrid systems, we are the only company that’s taking computation out of the integrated circuit and into a pure-photonic system that shatters all existing barriers.
Inspired by the great promise involved in combining optical communication platforms with the revolution of deep learning networks, Eyal set out to explore and map a brand-new field of in-fiber photonic computing. In early 2019, leveraging his broad technical experience in neuroscience (Weizmann Institute), HW design (Mellanox, Saifun), algorithms development (Oren, MS Tech) and photonic computing research (Technion, Bar Ilan University, Hebrew University), Eyal co-founded CogniFiber with world-class photonics expert Prof. Zeev Zalevsky, CogniFiber’s CTO. He recruited an elite group of engineers, implementing the theory from the whiteboards into the lab. During its first two years, CogniFiber developed and registered significant IP enabling a POC that dramatically supersedes the most powerful current AI acceleration technologies in terms of performance and power consumption. Eyal is truly energized and excited to lead CogniFiber’s journey into the next technological revolution.
Prof. Zalevsky is a Full-professor and Dean of the Faculty of Engineering at Bar Ilan University. His research expertise involves biomedical optics, super-resolution, and electro-optical devices. He has published more than 450 peer-reviewed papers, 10 books, 30 book chapters, and around 100 patents. For his work and great service to science, he received many national and international scientific prizes. He is also a co-founder and technological leader in many successful start-up companies that originated from technologies commercialized from his lab. Together with Dr. Cohen in 2012, Prof. Zavlevsky began the promising research endeavor which explored the implementation of in-fiber neural networks, enabling de-facto light speed inference computing.
Additionally to our founders, CogniFiber relies on an extraordinary team of experts across a wide variety of fields. Optics, AI and advanced electronics are just the tip of the iceberg. Developing and creating DeepLight™ Technology is a multidisciplinary effort, that wouldn’t be possible without the great and diverse team at CogniFiber.
We are looking for an electro-optics R&D engineer that will be a part of the R&D team that designs, assembles, tests and analyzes photonic computing systems, parts and devices. The job requires in-depth knowledge and experience in fiber optics and photonics, preferably specific to CogniFiber technology.
Contact us for more information and send relevant CV to [email protected] .
We are looking for an R&D FPGA and RT engineer that will be a part of the R&D team that designs photonic computing devices and systems. The job requires in-depth knowledge and experience in Xilinx-based FPGA preferably specific to CogniFiber technology .
Contact us for more information and send relevant CV to [email protected].
