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ATLANTA, April 15, 2025 /PRNewswire ~ Storj, a leading provider of cloud storage solutions, has announced that its Object Mount product has been named the winner in the Cloud Computing and Storage category at the 2025 National Association of Broadcasters (NAB) Show Product of the Year Awards. This prestigious awards program recognizes the most innovative and promising new products and technologies showcased by exhibitors at the NAB Show.
Object Mount is a revolutionary product that converts objects in S3-compatible storage into accessible files on a mounted local drive. This eliminates the need for time-consuming downloads, rehydration, or proxies. With Object Mount, teams can now browse, edit, and render high-resolution media directly in-bucket in real-time, including 4K and Camera RAW files. This removes performance bottlenecks and ensures that editing is never compromised, making it ideal for global collaboration.
One of the key features of Object Mount is its ability to connect to any major cloud provider such as AWS, Google Cloud, Microsoft Azure, and IBM Cloud. It can also be used with Storj's distributed storage for ultimate flexibility without vendor lock-in or costly migrations. This makes it an ideal solution for AI and ML teams who require seamless access to massive datasets stored in the cloud. With Object Mount, tools like TensorFlow and PyTorch can access files as if they were local, accelerating training, inference, and iteration.
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In addition to its impressive capabilities for media and entertainment workflows, Object Mount also delivers a sustainability benefit by significantly reducing the need for data replication and transfers. By enabling work to be done in-bucket instead of transferring data back and forth between different locations, Object Mount helps organizations reduce their carbon impact.
Colby Winegar, CEO of Storj expressed his excitement about winning this award: "Our Product of the Year award highlights how Object Mount solves some of the biggest challenges faced by the media and entertainment industry when it comes to accessing and editing video content in the cloud. It also recognizes Storj's expanding leadership in the industry, as we continue to deliver solutions that simplify and accelerate media workflows and data management."
The winners of the NAB Show Product of the Year Awards were selected by a panel of industry experts in 16 categories and announced at a live awards ceremony on April 8th. To be eligible for an award, nominated products had to be exhibited at the 2025 NAB Show and delivered in the same calendar year.
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Eric Trabb, Senior Vice President and Chief Customer Success Officer at NAB, congratulated Storj on their win: "NAB is proud to recognize the industry's top work driving a remarkable range of solutions, opening new frontiers, and shaping the future of content creation, distribution, and monetization. Congratulations to Storj on earning the 2025 NAB Show Product of the Year Award for Object Mount – a breakthrough solution that transforms a pivotal stage of the content lifecycle and empowers storytellers to meet today's challenges while shaping the future of media."
For more information about the 2025 NAB Show Product of the Year Awards, please visit their website.
Object Mount is a revolutionary product that converts objects in S3-compatible storage into accessible files on a mounted local drive. This eliminates the need for time-consuming downloads, rehydration, or proxies. With Object Mount, teams can now browse, edit, and render high-resolution media directly in-bucket in real-time, including 4K and Camera RAW files. This removes performance bottlenecks and ensures that editing is never compromised, making it ideal for global collaboration.
One of the key features of Object Mount is its ability to connect to any major cloud provider such as AWS, Google Cloud, Microsoft Azure, and IBM Cloud. It can also be used with Storj's distributed storage for ultimate flexibility without vendor lock-in or costly migrations. This makes it an ideal solution for AI and ML teams who require seamless access to massive datasets stored in the cloud. With Object Mount, tools like TensorFlow and PyTorch can access files as if they were local, accelerating training, inference, and iteration.
More on nvtip.com
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In addition to its impressive capabilities for media and entertainment workflows, Object Mount also delivers a sustainability benefit by significantly reducing the need for data replication and transfers. By enabling work to be done in-bucket instead of transferring data back and forth between different locations, Object Mount helps organizations reduce their carbon impact.
Colby Winegar, CEO of Storj expressed his excitement about winning this award: "Our Product of the Year award highlights how Object Mount solves some of the biggest challenges faced by the media and entertainment industry when it comes to accessing and editing video content in the cloud. It also recognizes Storj's expanding leadership in the industry, as we continue to deliver solutions that simplify and accelerate media workflows and data management."
The winners of the NAB Show Product of the Year Awards were selected by a panel of industry experts in 16 categories and announced at a live awards ceremony on April 8th. To be eligible for an award, nominated products had to be exhibited at the 2025 NAB Show and delivered in the same calendar year.
More on nvtip.com
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Eric Trabb, Senior Vice President and Chief Customer Success Officer at NAB, congratulated Storj on their win: "NAB is proud to recognize the industry's top work driving a remarkable range of solutions, opening new frontiers, and shaping the future of content creation, distribution, and monetization. Congratulations to Storj on earning the 2025 NAB Show Product of the Year Award for Object Mount – a breakthrough solution that transforms a pivotal stage of the content lifecycle and empowers storytellers to meet today's challenges while shaping the future of media."
For more information about the 2025 NAB Show Product of the Year Awards, please visit their website.
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