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CollPlant emulator study projects over 80,000× speedup

The study benchmarked an LPU emulator against GPU algorithms on problems involving large-scale sparse linear systems.

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Rhea-AI Filing Summary

CollPlant Biotechnologies Ltd. announced the publication of joint research by its subsidiary LightSolver Ltd. and the High-Performance Computing Center Stuttgart (HLRS). The peer-reviewed study compared an emulator of LightSolver’s Laser Processing Unit (LPU) architecture with established iterative algorithms running on a GPU to solve large-scale sparse systems of linear equations.

Across the benchmark problems evaluated, the study projected time-to-solution acceleration ranging from approximately 40× to more than 80,000×, depending on the algorithm and problem. The reported results are projections based on an emulator; the research describes potential uses for photonic processors as specialized accelerators for selected scientific and engineering workloads.

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Projected time-to-solution acceleration approximately 40× to more than 80,000× Across benchmark problems evaluated; emulator compared with GPU algorithms
Conference edition 23rd ACM International Conference on Computing Frontiers
HLRS establishment year 1996 The High-Performance Computing Center Stuttgart was established in 1996
Laser Processing Unit (LPU) technical
"developer of the Laser Processing Unit (LPU)"
time-to-solution technical
"time-to-solution acceleration"
Time-to-solution is the elapsed time from the start of a development, research or regulatory process to when a usable result, product, or approval is achieved. For investors it matters because shorter time-to-solution accelerates revenue, lowers ongoing costs and uncertainty, and can indicate operational efficiency—like a faster recipe getting dinner on the table sooner, improving cash flow and competitive position.
sparse systems of linear equations technical
"solving large-scale sparse systems of linear equations"
A sparse system of linear equations is a collection of linear relationships among variables where most coefficients are zero, so each equation links only a few variables. These systems show up in large financial models, portfolio optimization, and network or factor analyses; their sparsity lets numerical methods solve them much faster and with less memory, which matters for scaling calculations and running complex analytics used in markets.
heterogeneous hybrid architecture technical
"a heterogeneous hybrid architecture"

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

How much faster was LightSolver’s LPU in the CLGN research?

The study projected LPU time-to-solution acceleration of approximately 40× to more than 80,000× across the benchmark problems evaluated. Researchers used an emulator of the LPU architecture and compared it with established iterative algorithms running on a GPU; results varied by algorithm and problem.

What workloads did the CLGN LPU study evaluate?

The study evaluated solving large-scale sparse systems of linear equations. The research identifies computational fluid dynamics, structural mechanics, electromagnetics, molecular dynamics and materials science as fields whose simulations can involve these systems.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Learn about SEC filing dates

 

 

UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, DC 20549

 

Form 6-K

 

REPORT OF FOREIGN PRIVATE ISSUER

PURSUANT TO RULE 13a-16 OR 15d-16 UNDER

THE SECURITIES EXCHANGE ACT OF 1934

 

For the month of September 2026

Commission File Number 001-38370

 

CollPlant Biotechnologies Ltd.

(Exact name of registrant as specified in its charter)

 

4 Oppenheimer St, Weizmann Science Park

Rehovot 7670104, Israel

(Address of principal executive office)

 

Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F.

 

Form 20-F ☒     Form 40-F ☐

 

 

 

 

 

On September 24, 2026, CollPlant Biotechnologies Ltd. issued a press release entitled “LightSolver, a CollPlant Company, and HLRS Joint Research Demonstrated Photonic Computing Can significantly Accelerate Fundamental HPC Workloads.” A copy of the press release is attached hereto as Exhibit 99.1 and is incorporated herein by reference.

 

Attached hereto and incorporated by reference herein are the following exhibits:

 

99.1   Press Release, dated September 24, 2026.

 

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SIGNATURES

 

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.

 

  COLLPLANT BIOTECHNOLOGIES LTD.
       
Date: September 24, 2026 By:  /s/ Eran Rotem
    Name: Eran Rotem
    Title: Deputy CEO and Chief Financial Officer

 

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Exhibit 99.1

 

LightSolver, a CollPlant Company, and HLRS Joint Research Demonstrated Photonic Computing Can significantly Accelerate Fundamental HPC Workloads

 

Peer-reviewed study published by ACM: LightSolver’s LPU architecture demonstrated significantly lower projected time-to-solution, compared to state-of-the-art algorithms running on a GPU

 

REHOVOT, Israel, September 24, 2026 — CollPlant Biotechnologies Ltd. (Nasdaq: CLGN) today announced the publication of joint research conducted by its subsidiary LightSolver Ltd. (“LightSolver”), a pioneer of pure photonic computing and developer of the Laser Processing Unit (LPU), and the High-Performance Computing Center Stuttgart (HLRS), one of Europe’s premier supercomputing institutions.

 

Published in the proceedings of the 23rd ACM International Conference on Computing Frontiers, the research demonstrates the potential of LightSolver’s all-optical computing architecture to dramatically accelerate one of the most fundamental and computationally intensive workloads in high-performance computing (HPC): solving large-scale sparse systems of linear equations.

 

In the joint study, researchers from LightSolver and HLRS benchmarked projected LPU performance, using an emulator of LightSolver’s LPU architecture, against established state-of-the-art iterative algorithms running on a GPU. Across the benchmark problems evaluated, the study projected that the LPU could achieve time-to-solution acceleration ranging from approximately 40× to more than 80,000×, depending on the algorithm and problem evaluated.

 

Large-scale linear systems sit at the mathematical core of some of the world’s most demanding scientific and engineering simulations, including computational fluid dynamics, structural mechanics, electromagnetics, molecular dynamics and materials science. Solving these systems can dominate runtime and energy consumption in HPC applications, making them a critical computational bottleneck and an important target for next-generation computing architectures.

 

The findings highlight the potential for photonic processors to serve as specialized accelerators for large-scale linear systems, particularly for structured problems and computational workloads in which these mathematical operations must be solved repeatedly.

 

Executive Commentary

 

“This joint work demonstrates how an emerging photonic computing architecture can be evaluated against established numerical methods and modern GPU platforms,” said Prof. Michael Resch, Director of the High-Performance Computing Center Stuttgart (HLRS). “The results provide valuable insight into where photonic computing may offer advantages for high-performance computing workloads and how it could be integrated into future hybrid computing systems.”

 

“This research marks an essential milestone in validating the LPU as a transformative computing layer alongside traditional CPUs and GPUs,” said Dr. Ruti Ben-Shlomi, CEO and Co-Founder of LightSolver. “Working with HLRS and its world-class researchers gave us an exceptional opportunity to benchmark and validate our technology against established computing platforms and test it on some of the most demanding computational problems. Collaborations like this are invaluable as we continue to expand the range of problems the LPU can address and demonstrate its potential across science, engineering and high-performance computing. We look forward to continuing to work with leading research institutions around the world to validate, challenge and advance this new computing architecture.”

 

 

 

 

The Future of HPC: Heterogeneous Hybrid Architectures

 

The published research reinforces LightSolver’s vision for the future of enterprise and scientific computing: a heterogeneous hybrid architecture in which CPUs, GPUs and LPUs work together, each executing the workloads best suited to its underlying architecture:

 

●CPUs provide general-purpose processing, orchestration and system control.

 

●GPUs accelerate massively parallel digital computing and tensor-based workloads.

 

●LPUs serve as specialized photonic accelerators, offloading computationally intensive mathematical workloads, including linear and differential equations and optimization-where LightSolver’s optical architecture can provide significant acceleration.

 

This hybrid approach is designed to enable supercomputing centers, data centers and cloud providers to integrate photonic acceleration into existing computing environments, potentially delivering dramatic reductions in time-to-solution, energy consumption, computing costs and carbon footprint for targeted workloads.

 

Research Publication Details

 

The peer-reviewed paper, titled “Accelerating Sparse Linear Solvers with an Optical Laser Processing Unit,” was presented and published in the proceedings of the 23rd ACM International Conference on Computing Frontiers (Workshops and Special Sessions).

 

The full paper is available via the ACM Digital Library: https://dl.acm.org/doi/10.1145/3801488.3808041.

 

About HLRS

 

The High-Performance Computing Center Stuttgart (HLRS) of the University of Stuttgart was established in 1996 as Germany’s first federal supercomputing center. As a member of the Gauss Centre for Supercomputing (GCS), HLRS operates some of the world’s most powerful supercomputing infrastructure, providing high-performance computing, artificial intelligence, and simulation services to academic researchers and industrial partners across Europe.

 

About CollPlant

 

CollPlant Biotechnologies Ltd. (NASDAQ: CLGN) is an innovative technology company operating at the intersection of deep-tech computing and advanced biotechnology. Through its subsidiary LightSolver, CollPlant is advancing the development of proprietary all-optical laser based computing architectures designed to resolve the world’s most demanding computational bottlenecks across artificial intelligence, aerospace, financial engineering, and high-performance computing. Concurrently, CollPlant remains a leader in regenerative medicine, pioneering plant-derived recombinant human collagen (rhCollagen) technologies for 3D bioprinting of tissues and organs and medical aesthetics.

 

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Forward-Looking Statements

 

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements include, but are not limited to, statements regarding the future development, commercialization and market adoption of LightSolver’s Laser Processing Unit (LPU) technology; the extent to which projected or emulated LPU performance may be replicated in physical hardware and real-world workloads; anticipated performance, capabilities and applications of the LPU; potential integration of the LPU into hybrid computing environments; potential reductions in time-to-solution and computing requirements; future research collaborations; and the future prospects, business plans and growth strategies of CollPlant and LightSolver. Forward-looking statements can be identified by words such as “anticipate,” “believe,” “expect,” “intend,” “plan,” “may,” “should,” “could,” “might,” “seek,” “target,” “will,” “project,” “continue” and similar expressions or the negative of such terms. These forward-looking statements are based on assumptions and assessments made in light of management’s experience and perception of historical trends, current conditions, expected future developments and other factors believed to be appropriate. Forward-looking statements are not guarantees of future performance and are subject to risks and uncertainties, many of which are outside of our control. Many factors could cause our actual activities or results to differ materially from the activities and results anticipated in forward-looking statements, including, but not limited to, the risk that the anticipated benefits of the transaction are not realized, or are not realized within the expected timeframe; risks associated with integrating LightSolver’s business, operations and personnel; LightSolver’s ability to achieve anticipated technological and commercial milestones; uncertainties regarding market acceptance and adoption of LightSolver’s technology; the ability to develop and commercialize LightSolver’s products and technology successfully; the ability to establish and expand strategic collaborations and commercial relationships; competition and technological developments; intellectual property risks; the availability of capital; CollPlant’s ability to maintain compliance with Nasdaq listing requirements; general market, industry, economic and geopolitical conditions; and other risks and uncertainties described in CollPlant’s filings with the U.S. Securities and Exchange Commission, including its most recent Annual Report on Form 20-F and subsequent Reports on Form 6-K. Forward-looking statements speak only as of the date of this press release. CollPlant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law.

 

Contact Information:

 

CollPlant

 

Eran Rotem

 

Deputy CEO & CFO

 

eran@collplant.com

 

+972.73.232.5600

 

LightSolver

 

Dr. Ruti Ben Shlomi

 

Co-Founder & CEO

 

ruti@lightsolver.com

 

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Filing Exhibits & Attachments

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