MITRE Corporation Funds Development of All-Optical Chiplets Targeting 2-3 Orders of Magnitude AI Energy Efficiency Boost

September 13, 2026

The MITRE Corporation USA

Overview

Funding from The MITRE Corporation is supporting small-scale R&D into all-optical computer chiplets based on photonic integrated circuits for optical computing. Successful implementation of this project is expected to improve the energy efficiency of AI systems in mobile devices, computing centers, and data centers by 2-3 orders of magnitude. The project aims to develop, fabricate, test, and verify PIC hardware components, along with digital twin models of system components and fully integrated chiplets, to enhance U.S. energy security.

In Depth

Key Findings

The MITRE Corporation is backing a pioneering small-scale research and development project focused on all-optical chiplets, which are based on photonic integrated circuits utilizing light for computation. This initiative projects a potential 2-3 orders of magnitude improvement in the energy efficiency of AI systems, ranging from mobile devices to large data centers, and is poised to bolster U.S. energy security.

Technical / Clinical Details

The core of this project involves developing computer chiplets that leverage photonic integrated circuits (PICs) to perform computations and data transfers using light, rather than electricity. By replacing traditional electronic interconnects with optical ones, the team aims to drastically reduce the energy dissipation associated with data movement and processing in AI architectures. The research and development effort encompasses the comprehensive lifecycle of PIC hardware components, including their design, fabrication, rigorous testing, and verification. Concurrently, the project involves creating and validating digital twin models for both individual system components and the fully integrated chiplets. This dual approach of hardware development and advanced simulation ensures a robust pathway toward realizing highly energy-efficient AI systems that could redefine performance benchmarks.

Background & Context

The escalating energy consumption of AI systems, from handheld devices to massive hyperscale data centers, represents a significant challenge for both sustainability and operational costs. Improving AI energy efficiency is therefore a strategic imperative for the continued growth and broader adoption of AI technologies. The MITRE-funded project addresses this by exploring all-optical chiplets, a paradigm shift from current electronic computing. Optical computing offers inherent advantages, such as lower heat generation and significantly higher bandwidth, making it an ideal candidate for breaking through the power wall currently faced by AI hardware. This technological advancement not only promises a greener AI future but also aligns with national strategic goals to reduce reliance on external energy sources and enhance overall energy security for the United States.

Strategic Significance & Outlook

The successful development of all-optical chiplets could dramatically lower the energy footprint of AI, facilitating its widespread deployment in energy-sensitive applications and massive computing infrastructures. This breakthrough would accelerate the development of more powerful and sustainable AI systems, broadening the scope of AI applications across various sectors. Furthermore, for the United States, this technology signifies not just a reduction in energy costs but also a reinforcement of its leadership in cutting-edge computing technologies, providing a strategic advantage in the global technological landscape.

Source: https://www.energy.gov/nepa/articles/cx-270842-mitre-corporation-all-optical-chiplets-energy-efficient-artificial

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