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GPUs have become increasingly important for several large software firms such as AWS, Google, and OpenAI, as the demand for generative AI continues to grow steadily.
Given the lack of specifics in the AWS statement, it’s difficult to know how much cloud infrastructure it will buy, but the investment is table stakes in the European cloud battles with Microsoft, Google.
This, along with other AI regulations, sparks worries for enterprises about escalating compliance costs and curbing innovation.
Red Hat Enterprise Linux AI is aimed at making it easier and cheaper for enterprises to deploy generative AI technologies with open-source tools sets and models.
Palo Alto and IBM plan to strengthen joint AI security offerings.
Through the integration with Azure, Cisco's AppDynamics platform can manage the performance of applications, virtual machines and other resources hosted on Microsoft's cloud platform.
This week's VMware Explore conference was all about AI, along with an unexpected focus on private clouds.
In a keynote address at VMware Explore 2024, Broadcom CEO Hock Tan talked up the new version of VMware Cloud Foundation and extolled the future of the enterprise: ‘private cloud, private AI, your own private data.’
At the VMware Explore conference this week, Broadcom announced expanded AI support, including a new AI model store for VMware Private AI running on VMware Cloud Foundation.
The service, currently in preview, will allow enterprises to run their real-time AI inferencing applications serving large language models on Nvidia L4 GPUs inside the managed service.
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