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As part of its extended collaboration with AWS, GCP, Microsoft, IBM, and Oracle, the chip designer will share its new Blackwell GPU platform, foundational models, and integrate its software across platforms of hyperscalers.
New servers and storage services are targeted at high performance workloads, which means AI.
The partnership will give joint customers a CPU platform on which to run computationally intensive AI workloads.
Once optional, GPUs are becoming mandatory in servers. Companies are prioritizing investment in highly configured server clusters for AI, research firm Omdia reports.
Supermicro and Lenovo are expanding their AI hardware offerings, Intel is previewing chips designed for 5G and AI workloads, and Dell is embracing telecom.
IBM is focusing its AI initiatives on the business case instead of trying to get customers to focus on AI, and that's what sets it apart.
The nonprofit IT certification and training organization is creating new products and programs to address the growing AI jobs market.
AI-based enhancements enable IT teams to manage on-prem, hybrid, or cloud-native systems with visibility across distributed networks.
At Mobile World Congress, Qualcomm is demonstrating its vision for better exploiting artificial intelligence with the help of on-device computing and connectivity.
Cloud service provider Lambda is working to build a GPU cloud for AI workloads.
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