Data Centers
Artificial IntelligenceDell AI Laptops Will Be Powered By Next-Gen Qualcomm Processors
Five new laptops use the Qualcomm Snapdragon X Series processor to run AI. Dell AI offerings expand with NVIDIA, Hugging Face and others.
Five new laptops use the Qualcomm Snapdragon X Series processor to run AI. Dell AI offerings expand with NVIDIA, Hugging Face and others.
Plus, Google reveals plans to unleash Gemini across Workspace to make interpreting long email threads or creating spreadsheets easier.
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Data center systems and mobile devices will lead the expected growth in IT spending, according to Q2 predictions.
Some Google Cloud customers will be able to run instances on the Arm-based Axion chip later this year.
Developers can now take advantage of NVIDIA NIM packages to deploy enterprise generative AI, said NVIDIA CEO Jensen Huang.
Equinix Private AI can now run on NVIDIA DGX, a supercomputing platform for enterprise AI. Customers are asking for secure AI that can use current data, Equinix and NVIDIA said.
The data centre market in the Asia-Pacific will need to adjust to a rise in artificial intelligence computing in the region as well as a range of demands from a growing region.
The Intel Core Ultra mobile processor family brings AI to PCs, while 5th Gen Intel Xeon processors offer AI acceleration for data centers.
Microsoft’s biggest investment in the U.K. to date will see the company double its AI data centre footprint and deliver skills training to more than one million people.
According to Gartner, the next wave of cloud computing will see even more complicated workloads migrated over, plus new options and requirements for cloud customers.
It’s time to stop relying on the insecure authentication protocol built into Windows. Microsoft is making it easier to switch to secure modern options.
Australian data centres are about to consume a lot more power and become much harder to cool thanks to a boom in energy-intensive, much hotter artificial intelligence computing technologies.
Master data center migration, from strategic planning and asset inventory to continuous testing and post-migration optimization and understand its challenges, for a seamless transition.
NVIDIA’s AI Enterprise software shown at Supercomputing ‘23 connects accelerated computing to large language model use cases.