Beamr to Launch GPU-Accelerated Video Compression Solution for Autonomous Vehicles at NVIDIA GTC Paris

Rhea-AI Summary

Beamr Imaging (NASDAQ: BMR) announces the launch of a GPU-accelerated video compression solution for autonomous vehicles at NVIDIA GTC Paris 2025. The company's Content-Adaptive Bitrate (CABR) technology, powered by NVIDIA accelerated computing, achieves up to 50% reduction in video storage while maintaining visual quality and model fidelity. This solution addresses a critical challenge in autonomous vehicle development, where a single vehicle generates terabytes of daily video data and model training requires petabytes of storage. The technology has proven effective in benchmark testing on raw driving footage, showing no significant impact on machine learning performance while enabling substantial storage savings. The solution supports both real-world ADAS recordings and synthetic video generated by platforms like NVIDIA Omniverse and NVIDIA Cosmos.

Positive

• Technology reduces video storage requirements by up to 50% while maintaining quality
• Solution addresses critical cost and storage challenges in autonomous vehicle development
• Proven effectiveness in benchmark testing with real-time object detection models
• Partnership with NVIDIA enhances market credibility and technological capabilities

Negative

• None.

Insights

Technology Innovation Specialist

Beamr's new GPU-powered compression tech could significantly cut autonomous vehicle data costs while preserving critical model accuracy.

Beamr's announcement represents a targeted solution to one of autonomous driving's most pressing infrastructure challenges. The sheer volume of video data generated—terabytes daily per vehicle and potentially hundreds of petabytes for model training—creates a substantial cost burden for AV companies.

The technical achievement here is noteworthy: achieving up to 50% reduction in storage requirements while maintaining visual quality for both human perception and machine vision applications. This preserves the critical features needed for autonomous driving models, a much more demanding requirement than standard video compression.

What makes this particularly valuable is the dual application for both real-world captured footage and synthetic data generated through platforms like NVIDIA Omniverse. The latter has become increasingly crucial as companies require vast training datasets including rare edge cases impossible to capture naturally.

The GPU acceleration component is significant as it aligns with existing autonomous vehicle computing architecture, which already heavily leverages NVIDIA GPUs for inference and training. This allows for seamless integration into existing workflows without requiring separate compression hardware.

For industry players, this represents potential for substantial operational cost reduction across storage, compute, and bandwidth—three major expense categories in autonomous vehicle development. Companies facing mounting infrastructure costs as they scale their fleets and training operations will find this particularly compelling, especially as the industry faces increased pressure to demonstrate paths to profitability.

Beamr’s technology, designed for autonomous vehicles and machine learning workflows, enables up to 50% reduction in video storage without compromising model fidelity or visual quality 

Herzliya, Israel, June 11, 2025 (GLOBE NEWSWIRE) -- Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, today announced it will launch a high-performance, high-quality video compression solution designed for autonomous vehicles at NVIDIA GTC Paris, taking place June 10-12, 2025, as part of Viva Technology 2025, Europe’s biggest startup and tech event.

In the development of autonomous driving, video is the dominant data type. A single vehicle produces terabytes of video data daily, and training a single autonomous model may require tens to hundreds of petabytes. Beamr’s proprietary technology, with a proven track record in high-efficiency video compression trusted by global media players, now addresses a pressing, costly challenge for autonomous vehicles and machine learning teams: managing video data at scale, including long-term storage and the significant infrastructure investment required.

Beamr’s Content-Adaptive Bitrate (CABR) technology, built on NVIDIA accelerated computing, reduces real-world autonomous driving and synthetic video file sizes by up to 50%. This is achieved while preserving visual quality and critical visual features essential for training autonomous driving models. By addressing key storage, compute, and bandwidth constraints in AI pipelines, it significantly reduces operational costs.

Video capturing for autonomous driving models starts with Advanced Driver Assistance Systems (ADAS), recording real-world driving footage ingested into data centers, where video volumes scale rapidly. Yet, real-world data alone is insufficient for training models that must perform reliably across a wide spectrum of scenarios, including rare edge cases. To address this, a vast amount of synthetic video is generated by platforms such as NVIDIA Omniverse and NVIDIA Cosmos™ world foundation models, helping to amplify training data.

“Autonomous vehicle companies are under mounting pressure from rising video storage demands and infrastructure costs,” said Sharon Carmel, Beamr CEO. “Our content-adaptive technology, accelerated by GPUs, delivers highly efficient compression while maintaining visual quality across a variety of scenarios - both for human perception and machine vision, and in both real-world and synthetic video.”

In recent benchmark testing on raw driving footage using real-time object detection models, Beamr’s CABR achieved compression rates equivalent to the highest-quality compression common in the industry. It maintains high detection accuracy, preserving even fine visual details, demonstrating practically no impact on machine learning performance, while enabling up to 50% savings.

All GTC Paris attendees interested in Beamr's solutions for scalable, high-quality video solutions are invited to schedule a meeting with Beamr’s video experts team. For registration, please click the link.

For more details, please visit http://beamr.com/autonomous

About Beamr

Beamr (Nasdaq: BMR) is a world leader in content-adaptive video compression, trusted by top media companies including Netflix and Paramount. Beamr’s perceptual optimization technology (CABR) is backed by 53 patents and a winner of Emmy® Award for Technology and Engineering. The innovative technology reduces video file sizes by up to 50% while preserving quality and enabling AI-powered enhancements.

Beamr powers efficient video workflows across high-growth markets, such as media and entertainment, user-generated content, machine learning, and autonomous vehicles. Its flexible deployment options include on-premises, private or public cloud, with convenient availability for Amazon Web Services (AWS) and Oracle Cloud Infrastructure (OCI) customers.

For more details, please visit www.beamr.com or the investors’ website www.investors.beamr.com

Forward-Looking Statements

This press release contains “forward-looking statements” that are subject to substantial risks and uncertainties. Forward-looking statements in this communication may include, among other things, statements about Beamr’s strategic and business plans, technology, relationships, objectives and expectations for its business, the impact of trends on and interest in its business, intellectual property or product and its future results, operations and financial performance and condition. All statements, other than statements of historical fact, contained in this press release are forward-looking statements. Forward-looking statements contained in this press release may be identified by the use of words such as “anticipate,” “believe,” “contemplate,” “could,” “estimate,” “expect,” “intend,” “seek,” “may,” “might,” “plan,” “potential,” “predict,” “project,” “target,” “aim,” “should,” “will” “would,” or the negative of these words or other similar expressions, although not all forward-looking statements contain these words. Forward-looking statements are based on the Company’s current expectations and are subject to inherent uncertainties, risks and assumptions that are difficult to predict. Further, certain forward-looking statements are based on assumptions as to future events that may not prove to be accurate. For a more detailed description of the risks and uncertainties affecting the Company, reference is made to the Company’s reports filed from time to time with the Securities and Exchange Commission (“SEC”), including, but not limited to, the risks detailed in the Company’s annual report filed with the SEC on March 4, 2025 and in subsequent filings with the SEC. Forward-looking statements contained in this announcement are made as of the date hereof and the Company undertakes no duty to update such information except as required under applicable law.

Investor Contact:
investorrelations@beamr.com

FAQ

What is Beamr's new video compression solution for autonomous vehicles?

Beamr's Content-Adaptive Bitrate (CABR) technology is a GPU-accelerated video compression solution that reduces autonomous driving video file sizes by up to 50% while maintaining visual quality and critical features for training models.

How much data storage can be saved using Beamr's (BMR) compression technology?

Beamr's technology enables up to 50% reduction in video storage requirements for both real-world autonomous driving and synthetic video files without compromising model fidelity or visual quality.

What problem does Beamr's (BMR) autonomous vehicle compression solution solve?

It addresses the challenge of managing massive video data at scale, as autonomous vehicles produce terabytes of daily video data and require petabytes for model training, helping reduce operational costs and storage requirements.

When and where will Beamr (BMR) launch its new compression solution?

Beamr will launch its video compression solution at NVIDIA GTC Paris, taking place June 10-12, 2025, as part of Viva Technology 2025.

How does Beamr's compression technology work with NVIDIA platforms?

Beamr's CABR technology is built on NVIDIA accelerated computing and works with both real-world ADAS recordings and synthetic video generated by NVIDIA Omniverse and NVIDIA Cosmos world foundation models.