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Amazon.com, Inc., is an American multinational technology company based in Seattle, Washington, that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence.

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ByteNite offers a cutting-edge Video Encoding Platform and API for broadcasting and online media industry customers. With ByteNite, customers can take advantage of the power of distributed computing to get their encodings done quickly and cost-effectively in a fault-tolerant, reliable, and secure processing environment. With ByteNite, customers can achieve an encoding throughput 10x bigger than traditional cloud-based encoders, thanks to a distributed algorithm running on hundreds of devices simultaneously and securely. The encoding service offers seven different video codecs, three bitrate control modes, four formats, and popular aspect modifiers and video filters, giving customers complete control over their encoding parameters. In addition, the platform supports input and output from popular cloud storage services such as Google Cloud Storage and AWS S3, allowing customers to easily upload and download videos as needed. This makes it simple for customers to incorporate ByteNite's powerful video encoding technology into their existing content management workflows. The platform's chunk-based, parallel encoding technology encodes hundreds of tasks in parallel without requiring powerful instances and high expenses. With pay-per-use pricing based on output video minutes, customers can take advantage of ByteNite's full technology with as little as 1 cent and without any commitment. Customers can access ByteNite's Video Encoding Platform via a user-friendly web UI or a convenient API. The web UI enables customers to easily configure the encoding parameters, submit, manage, and review their encoding jobs, and monitor their spending. Meanwhile, the API allows customers to launch encoding jobs via command line input or a within a script. Accordingly, the API makes it possible to set up custom workflows and integrate automated pipelines into third-party applications and systems. For example, in user-generated content platforms like TikTok or Instagram, ByteNite's encoding API can be called every time a new video upload is requested by one of their users. This allows the platform to reduce upload time and better manage request peaks, ensuring that user-generated content is encoded and ready for playback as quickly as possible. Additionally, the API can be integrated with other applications and systems, making it easy to incorporate ByteNite's video encoding capabilities into a wide range of use cases. ByteNite's platform and API are both designed with security in mind, using advanced encryption and authentication protocols to protect customers' data and ensure the integrity of their encoding jobs. Whether you're a user-generated content platform, a media company, or an enterprise organization, ByteNite's Video Encoding Platform and API provide the speed, flexibility, and reliability you need to get your video encodings done quickly and cost-effectively. ByteNite's Video Encoding Platform not only provides cutting-edge video encoding capabilities, but also offers a sustainable solution for the planet. Unlike traditional server farms, which require massive amounts of energy to power and cool their equipment, ByteNite's network of distributed computing devices naturally dissipates heat, without the need for energy-intensive cooling systems. This reduces energy consumption and eliminates the need for toxic coolants that can harm the environment. Similarly, ByteNite's distributed computing model helps to reduce e-waste pollution. Instead of being discarded, unused computers, smartphones, and servers can be repurposed to power distributed computations, which reduces the number of electronic devices that end up in landfills. Hence, by utilizing ByteNite’s Video Encoding Platform, customers can contribute to reducing the carbon footprint of cloud computing by almost 37%, while adopting the latest distributed technology for fast and reliable video encoding.