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Getting infrastructure right for generative AI

CIO

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably high.

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Rackspace’s CTO takes a broad view of sustainability

CIO

Srini Koushik has been passionate about the environment for 35 years and now, as a board member of the nonprofit SustainableIT.org and CTO of cloud services provider Rackspace Technology, he wants to help enterprises achieve sustainability in the cloud. By choosing them, enterprises are almost adopting net zero by proxy,” Koushik says.

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IT leader’s survival guide: 8 tips to thrive in the years ahead

CIO

It can be difficult to adapt quickly as technology advances, while working to comply with varying regulations across state lines and borders. The challenge is that the technology footprint — and our understanding of potentials and pitfalls — is still maturing, for instance with generative AI.

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JLL reinvents itself for the AI era

CIO

We have a very diversified portfolio,” says Morin, who oversees roughly 1,000 IT employees within the company’s technology arm but estimates that between 2,000 and 3,000 employees in total are developing, selling or servicing JLL’s software. Generative AI and LLMs are changing all that. You don’t have to clean it up.

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3 things CIOs can do to make gen AI synch with sustainability

CIO

Nevertheless, Koushik and many other technologists argue that AI’s benefits far outweigh its ever-growing carbon footprint, which may not be the case for other energy-hungry applications, such as cryptocurrencies. Inference output takes a split second. So how much of that should you be charged for?”

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LexisNexis rises to the generative AI challenge

CIO

IT leaders looking for a blueprint for staving off the disruptive threat of generative AI might benefit from a tip from LexisNexis EVP and CTO Jeff Reihl: Be a fast mover in adopting the technology to get ahead of potential disruptors. But the foray isn’t entirely new. We will pick the optimal LLM. We use AWS and Azure.

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OctoML raises $85M for it for its machine learning acceleration platform

TechCrunch

The company was co-founded by CEO Luis Ceze, CTO Tianqi Chen, CPO Jason Knight, Chief Architect Jared Roesch and VP of Technology Partnerships Thierry Moreau, who together also created the Apache TVM open source machine learning compiler framework. . OctoML also plans to build out its partner ecosystem.