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across industries with its SuperClusters, optimised for the NVIDIA AI Enterprise software platform for the development and deployment of generative AI.
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Intel has unveiled cutting-edge technologies and architectures poised to dramatically accelerate the AI ecosystem – from the data center, cloud and network to the edge and PC. With more processing power, leading-edge power efficiency and low total cost of ownership (TCO), customers can now capture the complete AI system opportunity.
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Caldic will work with Syniti to help future-proof its data landscape and optimise data quality.
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Veeam Software and Lenovo have introduced Lenovo TruScale Backup with Veeam, a cloud-like experience on-premises that helps secure workloads regardless of their location and enables customers to scale infrastructure up or down as needed.
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Pure Storage and LandingAI, the leading visual AI company, have announced Pure’s strategic investment in LandingAI to help power the future of vision AI.
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Fueling the next wave of AI innovation, Western Digital has introduced a six-stage AI Data Cycle framework that defines the optimal storage mix for AI workloads at scale. This framework will help customers plan and develop advanced storage infrastructures to maximize their AI investments, improve efficiency, and reduce the total cost of ownership (TCO) of their AI workflows.
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Why do so many IP replication solutions lack encryption capabilities, and why is performance an issue when you need to encrypt data inflight? Check out Brocade subject matter experts discussing the challenges of maintaining security while replicating data between data centers at high throughput, including how Brocade addresses this architecturally with IP Extension.
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