Articles about "Data Storage"

The National Hockey League (NHL) has revamped its media storage and distribution systems through a multi-year partnership with VAST Data. The initiative replaces legacy archives and in-arena storage, enabling faster, more efficient media workflows and paving the way for advanced analytics. This modernisation is expected to enhance fan experiences and streamline media operations across the league.

The growing influence of AI in scientific research is upending traditional data storage models, shifting priorities from archival preservation to continuous, high-speed accessibility. Major storage vendors are adapting their offerings to meet these evolving needs, as scientific organizations are compelled to rethink data infrastructure for AI-driven discovery.

Wall Street investors are increasingly focusing on storage stocks as demand for AI-powered applications drives a need for greater data infrastructure. This shift follows an initial emphasis on graphics processing units (GPUs) and AI chip suppliers, reflecting a maturing artificial intelligence market. Industry analysts see storage and infrastructure as the next critical area for growth.

Researchers have discovered a novel method to store vast amounts of data using light in three dimensions, marking a significant advancement in data storage technology. By using beams of light to encode information in a 3D structure, this technique promises greater data density and faster access speeds than traditional electronic storage. The breakthrough could have far-reaching implications for AI systems and high-performance computing.

Scientists have developed a breakthrough multidimensional holographic technique that enables storage of massive amounts of data inside light, promising significant advances in data density and efficiency. This innovation could inspire new data storage methods relevant to AI hardware and next-generation computational systems. The development may help address growing demands for data storage and fast retrieval in AI-driven applications.

Canadian research collaborations SciNet and SHARCNET have selected VAST Data to provide critical storage solutions, aiming to accelerate AI and scientific innovation. This partnership underscores the growing demands for advanced data infrastructure in supporting leading-edge research across multiple disciplines.