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.
The GPU is the mainstay of AI processing, but several companies think they have a better option.
Cisco has added a generative AI Assistant and security protection to its Panoptica cloud-native application development software.
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