Western Digital unveils advanc data storage framework for AI AI models generate and consume large volumes of data of various types, such as text, images, audio, and video.
To handle these demands, storage systems must offer high performance and capacity.
Western Digital align its Flash and HDD products with these critical nes, introducing new solutions:
High-performance PCIe® Gen5 SSD: Design for AI training and inference.
64TB SSD: For AI data lakes
32TB UltraSMR HDD: The world’s highest capacity ePMR, optimiz for cost-effective, large-scale storage.
The solutions are part of a six-stage data storage framework design to optimize large-scale AI workloads.
This approach, according to lebanon whatsapp number data the company, will allow customers to maximize. Their investments in storage infrastructure, improving efficiency and rucing total cost of ownership (TCO).
The new storage framework will enable customers to build infrastructures that improve the performance and scalability of AI applications, said Rob Soderbery , executive vice president and general manager of Western Digital’s Flash Business Unit, who emphasiz that data is the “fuel for AI.”
Key Innovations in Storage
The new Ultrastar DC SN861 SSD is Western Digital’s first enterprise-class PCIe Gen 5.0 solution, excelling in random read performance and power efficiency. With capacities up to 16TB, it delivers three times the performance of the previous generation, ideal for data-intensive AI workloads.
Complementing this innovation, the expand Ultrastar DC SN655 SSD lineup will reach up to 64TB. Providing increas performance and capacity for AI data preparation and data lakes. These drives are in the testing phase and. Volume shipments are expect to begin later this year.
In the hard drive space
Western Digital is profiles on other social networks testing the 32TB ePMR , the industry’s highest-capacity bz lists hard drive, design for mass storage in the cloud and enterprise data centers. This UltraSMR hard drive will play a crucial role in AI workflows that require large-scale, low-TCO storage.