Previously built on Hadoop, NetApp said it was also looking to modernize the service infrastructure “to reduce the complexities of deploying new AI services and the costs of running large-scale analytics. In addition, the shift was needed to enable real-time predictive AI, and to abstract deployment, allowing the technology to run on multi-cloud or on premises seamlessly.”
[SPONSORED GUEST ARTICLE] Meta (formerly Facebook) has a corporate culture of aggressive technology adoption, particularly in the area of AI and adoption of AI-related technologies, such as GPUs that drive AI workloads. Members of a virtual reality research project were in need of greater GPU-driven compute ….
In today’s climate-aware era, there is an increased focus on sustainability for business decision-makers. With technology being the catalyst for growth in many organizations, IT leaders have a crucial role in making decisions that will positively impact future generations. In this whitepaper, written by International Data Corporation (IDC), the premier global provider of market intelligence, […]
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