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5 things CIOs must understand about AI infrastructure

CIO

But getting from potential to profitability does not come without risks, such as assuming that your established processes for deploying mainstream enterprise IT infrastructure will work in the new era of complex AI superclusters. A solid technology infrastructure has always been essential.

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Intel spins off enterprise AI company Articul8 with outside funding

CIO

Intel has set up a new company, Articul8 AI, to sell enterprise generative AI software it developed. Articul8 AI will be led by Arun Subramaniyan, formerly vice president and general manager in Intel’s Data Center and AI Group. The system is already being used by enterprises including Scripps, Uptycs and Invest India.

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AMD to acquire data center optimization startup Pensando for $2B

TechCrunch

AMD is in the chip business, and a big part of that these days involves operating in data centers at an enormous scale. AMD announced today that it intends to acquire data center optimization startup Pensando for approximately $1.9 Jain will join the data center solutions group at AMD when the deal closes.

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MetalSoft aims to help manage server infrastructure through automation

TechCrunch

Unfortunately for execs, at the same time recruiting is posing a major challenge, IT infrastructure is becoming more costly to maintain. MetalSoft allows companies to automate the orchestration of hardware, including switches, servers and storage, making them available to users that can be consumed on-demand.

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Gen AI without the risks

CIO

Gen AI will become a fundamental part of how enterprises manage and deliver IT services and how business users get their work done. For the average enterprise, it’s prohibitively expensive. So, does every enterprise need to build a dedicated AI development team and a supercomputer to train their own AI models? Not at all.

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Elevate your digital transformation with impactful sustainability

CIO

And the importance of energy efficiency for enterprise IT cannot be overstated. With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

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The impact of AI on edge computing

CIO

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. Consider security cameras identifying intruders or drones inspecting infrastructure for defects.