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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.
The justification for HPE buying Juniper may be a mundane, economy-of-scale play or a move to gain Juniper's AI networking technology. Or there may be a vision for something more ambitious.
Interest in AI has skyrocketed, dragging along with it a hefty amount of uncertainty on the part of enterprise IT teams.
The next-gen technology is still years away, but 6G wireless could enable futuristic high-bandwidth, low-latency applications.