Beamr Solution Demonstrates up to 50% Improved Video Compression for Autonomous Vehicles, Accelerated by NVIDIA
Beamr Imaging (NASDAQ: BMR) has announced significant improvements in its video compression solution for autonomous vehicles, achieving 23% to 50% better compression over existing machine learning workflows. The technology, validated by NVIDIA's AV Infrastructure team, maintains essential visual cues for autonomous driving models while significantly reducing data storage requirements.
The solution's Content-Adaptive Bitrate (CABR) technology, powered by NVIDIA accelerated compute, demonstrated 23% compression improvement using current codecs, and up to 50% reduction in bitrate when using newer codecs like HEVC or AV1. This advancement is particularly significant for AV companies managing 100 to 500+ petabytes of video data, offering substantial infrastructure cost savings while preserving model accuracy.
Beamr Imaging (NASDAQ: BMR) ha annunciato importanti miglioramenti nella sua soluzione di compressione video per veicoli autonomi, ottenendo una compressione superiore dal 23% al 50% rispetto ai flussi di lavoro di machine learning attuali. La tecnologia, convalidata dal team AV Infrastructure di NVIDIA, preserva gli indizi visivi essenziali per i modelli di guida autonoma riducendo drasticamente lo spazio di archiviazione richiesto.
La tecnologia Content-Adaptive Bitrate (CABR), alimentata da calcolo accelerato NVIDIA, ha mostrato un miglioramento della compressione del 23% con i codec attuali e fino a una riduzione del 50% del bitrate con codec più recenti come HEVC o AV1. Questo progresso è particolarmente rilevante per le aziende AV che gestiscono dai 100 ai 500+ petabyte di video, offrendo notevoli risparmi infrastrutturali senza compromettere l’accuratezza dei modelli.
Beamr Imaging (NASDAQ: BMR) ha anunciado mejoras significativas en su solución de compresión de vídeo para vehículos autónomos, logrando una compresión entre un 23% y un 50% superior a los flujos de trabajo de aprendizaje automático existentes. La tecnología, validada por el equipo AV Infrastructure de NVIDIA, mantiene las señales visuales esenciales para los modelos de conducción autónoma mientras reduce considerablemente las necesidades de almacenamiento.
La tecnología Content-Adaptive Bitrate (CABR), impulsada por computación acelerada de NVIDIA, demostró una mejora de compresión del 23% con los códecs actuales y hasta una reducción del 50% en la tasa de bits al usar códecs más nuevos como HEVC o AV1. Este avance es especialmente importante para las empresas de vehículos autónomos que gestionan 100 a 500+ petabytes de vídeo, ya que ofrece ahorros significativos en infraestructura sin sacrificar la precisión de los modelos.
Beamr Imaging (NASDAQ: BMR)는 자율주행차용 비디오 압축 솔루션을 크게 개선하여 기존 머신러닝 워크플로 대비 23%에서 50%까지 우수한 압축 효율을 달성했다고 발표했습니다. NVIDIA의 AV Infrastructure 팀이 검증한 이 기술은 자율주행 모델에 필요한 시각적 단서를 유지하면서 저장 용량을 크게 줄입니다.
NVIDIA 가속 컴퓨팅으로 구동되는 Content-Adaptive Bitrate(CABR) 기술은 기존 코덱 사용 시 23%의 압축 개선을 보였고, HEVC나 AV1 같은 최신 코덱 사용 시 비트레이트를 최대 50%까지 줄였습니다. 이 진전은 100에서 500+ 페타바이트의 비디오 데이터를 관리하는 자율주행 업체들에게 특히 중요하며, 모델 정확성을 유지하면서 인프라 비용을 크게 절감할 수 있습니다.
Beamr Imaging (NASDAQ: BMR) a annoncé des améliorations significatives de sa solution de compression vidéo pour véhicules autonomes, atteignant une compression meilleure de 23% à 50% par rapport aux flux de travail d'apprentissage automatique existants. La technologie, validée par l'équipe AV Infrastructure de NVIDIA, conserve les indices visuels essentiels pour les modèles de conduite autonome tout en réduisant fortement les besoins de stockage.
La technologie Content-Adaptive Bitrate (CABR), propulsée par le calcul accéléré NVIDIA, a démontré une amélioration de compression de 23% avec les codecs actuels et jusqu'à une réduction de 50% du bitrate avec des codecs récents tels que HEVC ou AV1. Cette avancée est particulièrement importante pour les entreprises AV gérant 100 à 500+ pétaoctets de vidéos, offrant des économies d'infrastructure substantielles sans compromettre la précision des modèles.
Beamr Imaging (NASDAQ: BMR) hat bedeutende Verbesserungen seiner Videokompressionslösung für autonome Fahrzeuge angekündigt und erreicht eine um 23% bis 50% bessere Kompression gegenüber bestehenden Machine-Learning-Workflows. Die von NVIDIAs AV Infrastructure Team validierte Technologie bewahrt wichtige visuelle Hinweise für autonome Fahrmodelle und reduziert gleichzeitig den Speicherbedarf deutlich.
Die Content-Adaptive Bitrate (CABR)-Technologie, betrieben von NVIDIA-beschleunigter Rechenleistung, erzielte mit aktuellen Codecs eine Kompressionsverbesserung von 23% und bis zu 50% Bitratereduktion mit neueren Codecs wie HEVC oder AV1. Dieser Fortschritt ist besonders relevant für AV-Unternehmen, die 100 bis 500+ Petabyte Videodaten verwalten, da er erhebliche Infrastrukturkosteneinsparungen bei gleichbleibender Modellgenauigkeit ermöglicht.
- Achieved 23-50% improvement in video compression efficiency for autonomous vehicle data
- Technology validated by NVIDIA's AV Infrastructure team
- Solution maintains model accuracy while reducing infrastructure costs
- Addresses critical needs for companies managing 100-500+ petabytes of video data
- None.
Insights
Beamr's NVIDIA-validated compression tech cuts AV data storage needs by up to 50%, potentially transforming autonomous vehicle development economics.
Beamr's announcement represents a significant technological breakthrough in the autonomous vehicle (AV) data management space. The company's Content-Adaptive Bitrate (CABR) technology has demonstrated 23-50% improved compression over existing solutions while maintaining the critical visual fidelity needed for AV model accuracy.
This advancement addresses a critical pain point for AV developers. Companies in this space typically manage between 100-500+ petabytes of video data—an enormous computational and storage burden. Even marginal compression improvements translate to substantial cost savings at this scale.
The technology's validation by NVIDIA's AV Infrastructure team lends significant credibility to Beamr's claims. The testing confirmed that the compression preserves essential visual cues for autonomous driving models, which is crucial for safety and reliability.
What makes this particularly valuable is the solution's versatility across the entire AV development pipeline—what Beamr calls the "data factory." From in-vehicle data collection through training, validation, and deployment, improved compression efficiency can accelerate development cycles while reducing infrastructure costs.
The technology offers two implementation paths: a 23% improvement using existing codecs, or a more substantial 40-50% reduction when paired with newer codecs like HEVC or AV1. This flexibility allows AV companies to choose their implementation approach based on their infrastructure constraints.
For context, this level of data optimization could fundamentally alter the economics of autonomous vehicle development, potentially accelerating industry progress by allowing companies to process more training data within the same infrastructure footprint.
Beamr will demonstrate its AV solution at IAA Mobility 2025, in Munich, Germany, from September 9-12
Herzliya, Israel, Aug. 27, 2025 (GLOBE NEWSWIRE) -- Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology and solutions, today announced that its video compression solution for autonomous vehicles (AV) has achieved
Beamr will demonstrate its GPU-accelerated video compression solution for AV at IAA Mobility 2025 in Munich, Germany, from September 9-12 at booth A1.B31. To schedule a one-on-one meeting with Beamr’s video data experts, please use the link.
AV companies managing 100 to 500 petabytes or more of video data face-mounting infrastructure challenges. Compression is essential for managing these massive datasets, yet even minor compression inefficiencies can translate into substantial infrastructure costs and slow development cycles across the complex "data factory" - the infrastructure and ML pipelines from in-vehicle data collection through training, validation, and large-scale deployment. Beamr's technology directly addresses this by offering operational efficiency across the “data factory” while maintaining model-safety.
In testing, Beamr’s Content-Adaptive Bitrate (CABR) technology, built on NVIDIA accelerated compute, delivered a
“Our collaboration with NVIDIA underscores the critical need for smart video compression in the AV industry,” said Sharon Carmel, Beamr CEO. “We’re proud to provide a solution that not only significantly reduces operational costs at scale but also guarantees the fidelity essential for reliable AV models and enables efficient operations at scale.”
IAA Mobility focuses on innovative mobility solutions, bringing together global professionals and experts. To schedule a one-on-one meeting with Beamr’s video data experts at IAA Mobility 2025 in Munich, Germany, please use the link.
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
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
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