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Microsoft unveils custom AI chip, with help from OpenAI, playing catch-up with Amazon

GeekWire

Microsoft describes the Azure Maia AI Accelerator as the first designed by Microsoft for large language model training and inferencing in the Microsoft Cloud. The other, Azure Cobalt CPU, is an Arm-based processor intended for general-purpose cloud workloads. OpenAI says it worked with Microsoft to refine and test the Maia chip.

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6 key considerations for selecting an AI systems vendor

CIO Business Intelligence

IT leaders attending NVIDIA’s GTC 2024 AI developer conference on March 18-21, 2024, in San Jose, CA, can explore these capabilities with ASUS, one of the global leaders in high-performance AI servers based on NVIDIA’s MGX server reference architecture. Compatibility with these frameworks can streamline development and deployment workflows.

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4 paths to sustainable AI

CIO Business Intelligence

Concerns that AI contributes to global warming stem from estimates that GPUs used to develop and keep AI models running use four times as much energy as those serving conventional cloud applications, and that AI could be on track to use as much electricity as Ireland. All those 13,000 new models didn’t require any pre-training,” he says.

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How universities can accelerate their digital transformations

CIO Business Intelligence

For these and other reasons, universities across Europe are looking to migrate to modern, cloud-based Student Information Systems (SIS) and customer relationship management (CRM) platforms to improve user experiences. s cloud-based SIS and CRM solutions can support your success click here. For instance, Ellucianâ??s s more, Ellucianâ??s

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DTW 2022: Catalyst Awards celebrate excellence in innovation

TM Forum

Amazon Web Services, Cognizant, Hansen Technologies, NEC, Sterlite Technologies Limited. Title: Async Open APIs for event based architectures. About: This project develops a low-code training platform to intelligently spot talent and upskill staff by matching them to relevant interactive training modules.

Energy 130
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NCTA CloudMASTER®: The Path To Your Future

Cloud Musings

In 2016, cloud computing started to dominate many IT market segments. Operator and vendor revenue for six segments of cloud computing reached $148 billion during that period, with spending on private clouds accounting for over half the total but spending on the public cloud growing much more rapidly. 30 grew 25%.

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Researchers want to put energy hogs like ChatGPT on a diet with more efficient computer chips

GeekWire

A researcher at the University of Washington estimated the power required to make the ChatGPT app that was publicly released in November, determining that it consumed roughly 10 gigawatt-hours (GWh) of power to train the large language model behind it. GPT-4, which was trained on much more data, and other new models gobble even more power.

Energy 76