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AI technologies are expected to play a central role in Cisco’s Secure Cloud strategy.
Nvidia's Grace Hopper CPU/GPU combo underpins its supercomputer the company claims can crank out nearly an exaFLOP of AI performance.
The DGX GH200 AI supercomputer is targeted toward developing and supporting large language models. Google Cloud, Meta, and Microsoft already have access to it.
Intel is switching up its data-center processor roadmap, and its proposed combination CPU and GPU, code-named Falcon Shores, will now be a GPU chip only.
The integration of Nvidia’s software suite will further help enterprises build, deploy, and manage applications based on large language models.
Project Helix will see Dell and Nvidia combine their hardware and software infrastructure to help enterprises build and manage generative AI models on-premises.
The Facebook parent said that it is working on a new AI-optimized data center design and the second phase of its 16,000 GPU supercomputer for AI research.
Microsoft is reported to be working with AMD to develop AI-capable chips and provide an alternative to Nvidia.
Aruba: As the roles of networking teams change, they will need to embrace AI and uniting networking with security.
Arista’s CloudVision Guardian for Network Identity uses AI to implement, troubleshoot, and enforce NAC policies.
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