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Gen AI without the risks

CIO

Here are six tips for developing and deploying AI without huge investments in expert staff or exotic hardware. However, the investment in supercomputing infrastructure, HPC expertise, and data scientists is beyond all but the largest hyperscalers, enterprises, and government agencies. Not at all.

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The impact of AI on edge computing

CIO

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt.

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The CTO’s newest hat is green

CIO

Data centers run on electricity, which often comes from the burning of fossil fuels. In addition, computing hardware can use non-renewable resources mined from the earth, creating other environmental concerns. Dell Technologies is also working to make its hardware more sustainable. But becoming greener isn’t enough.

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The AI continuum

CIO

Retrain and fine-tune an existing model Retraining proprietary or open-source models on specific datasets creates smaller, more refined models that can produce accurate results with lower-cost cloud instances or local hardware. Retraining, refining, and optimizing create efficiency so you can run on less expensive hardware.

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Dawn Rising: Jumpstarting a new age of AI supercomputing in the U.K.

CIO

The technology enabling this powerhouse The Dawn Phase 1 supercomputer runs 512 4 th Generation Intel® Xeon® Scalable processors and 1,024 Intel® Data Center GPU Max 1550 accelerators on 256 Dell PowerEdge XE9640 server nodes. to deliver fusion power to the grid in the 2040s,” Dr. . Learn more.

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Avoiding Last-Mile Challenges for Remote Workers

CIO

Best Practice 3: Helping employees choose the right hardware can go a long way. Consider providing recommendations for home networking hardware that employees can chose from. These guidelines can be made specific for a small set of recommended hardware. Best Practice 4: Guidelines can be worth their weight in gold.

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor.