Beamr Imaging Ltd., a leader in video optimization technology and solutions, announced it will present accelerated video AI workflows at NVIDIA GTC. GTC is a global AI conference for developers and business minds shaping the future of artificial intelligence (AI) and accelerated computing. At GTC, Beamr will highlight its plans for integrating AI workflows into Beamr Cloud – Beamr’s recently launched video software-as-a-service (SaaS) solution powered by NVIDIA technology – allowing easy and wide access to advanced video processing.
AI startups or even seasoned AI firms face challenges training massive video AI models. This is because of the complexity of the size and resolution of large video files. Beamr’s vision is to lower the barrier of entry to the highest level of video AI capabilities. Beamr plans to offer AI and machine learning players a variety of solutions that may enable them to overcome critical pain points, such as slow training and inferencing speed, large numbers of GPUs required to complete a task, data storage, networking bottlenecks and high associated costs.
Beamr plans to focus its research and development efforts on providing AI and generative AI players access to video AI workflows, tailored to their needs, through Beamr Cloud. Recently, Beamr released a technical paper showing that machine learning workflows benefit from the ability to create a compressed file that looks exactly the same as the original one. Video files that were downsized by 40% on average had streamlined machine learning processes and allowed significant savings in storage and overall costs without any negative effect on training and inference results.
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Beamr’s video optimization tech – integrated with NVIDIA’s 8th-generation GPU encoder (NVENC), available on NVIDIA T4 Tensor Core and NVIDIA RTX GPUs, and NVIDIA L4 Tensor Core, L40 and L40S GPUs – aims to accelerate video AI workflows and enhance video pre-training, training and inference capabilities in AI pipelines. NVENC SDK 12.1 added an API that allows external control and enables users to tightly integrate hardware encoders for AVC and HEVC video formats. In addition, it supports AOMedia Video 1 (AV1), an efficient emerging video format.
Last month, Beamr launched Beamr Cloud, enabling high-quality, high-scale video processing at attractive pricing. Beamr Cloud, operating on Amazon’s AWS and powered by NVIDIA technology, targets the expanding markets of AI, user-generated content, autonomous cars, online video editing, podcast platforms and more. Beamr Cloud is powered by NVIDIA technologies like NVIDIA CUDA, NVIDIA DeepStream SDK, and NVENC, and supports reductions in video training, inferencing, and extract, transform and load (ETL) times, while delivering cost savings in bandwidth and storage.
SOURCE: GlobeNewswire