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.
Arista’s new network observability software aims to reduce human error, accelerate problem resolution, and streamline root cause analysis of network events and their impact on application performance.
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.
Juniper upgraded its PTX and QFX platforms to support 800G Ethernet as momentum builds around making Ethernet a go-to technology for AI networking.
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