DeepCube is an award-winning deep learning pioneer that provides the industry’s first software-based inference accelerator to drastically improve deep learning performance on existing hardware.
DeepCube features a proprietary platform that generates neural networks that use processing power and memory.
DeepCube was co-founded in 2017 by Yaron Eitan and Eli David. The company is headquartered in Tel Aviv, Tel Aviv, Israel, with an office in New York.
DeepCube focuses on research and development of deep learning technologies that result in improved real-world deployment of AI systems.
DeepCube's numerous patented innovations include methods for faster and more accurate training of deep learning models, and drastically improved inference performance. DeepCube’s proprietary framework can be deployed on top of any existing hardware in both datacenters and edge devices, resulting in over 10x speed improvement and memory reduction.
DeepCube’s product is designed to be deployed on any type of hardware, including processors, GPUs, and AI accelerators, and the company claims it leads to an average tenfold speed improvement, a “major” reduction in memory requirements, and a “substantial” reduction in power consumption.
DeepCube is backed by Canadian VC Awz Ventures, Koch Disruptive Technologies (KDT) and Nima Capital. The company raised $7M in Series A round on Sep 22, 2020. This brings DeepCube's total funding to $12M to date.