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Reading: Storage, not GPUs, is the most important problem to AI says influential report — lack of bits and bytes is what might make or break your AI/ML undertaking
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Storage, not GPUs, is the most important problem to AI says influential report — lack of bits and bytes is what might make or break your AI/ML undertaking

Editorial Board
Editorial Board Published September 17, 2024
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A significant report on the state of the AI trade has revealed some key insights into potential issues for firms and the trade at giant as its progress continues to growth following the discharge of ChatGPT and different AI fashions. 

WEKA, commissioned by S&P International Market Intelligence, just lately launched its 2024 International Tendencies in AI report, surveying over 1,500 totally different tech executives and decision-makers on underlying tendencies throughout a broad vary of subjects. 

Among the most fascinating insights associated to the availability of AI-capable GPUs, virtually all of that are made by Nvidia, though firms like AMD, in addition to start-ups, are gaining some floor. 

The principle takeaway, as per WEKA, is that AI purposes are “now pervasive in the enterprise”, which might be one thing most workers can really feel already. Nevertheless, scaling these AI apps is commonly tough, principally as a result of legacy knowledge architectures. 

Generative AI has additionally taken organisations by storm, with the report noting 88% of organizations are “now actively investigating generative AI, far outstripping other AI applications such as prediction models (61%), classification (51%), expert systems (39%) and robotics (30%).” 

Nvidia, the company world wants you

(Picture credit score: Nvidia)

Excessive-end GPUs are, naturally, a giant focus of the report – having the uncooked energy is prime to having the ability to really do something with many AI purposes. 

“Hyperscaler public clouds are one pathway to GPUs, but many are also turning to specialist AI clouds,” it notes. “GPU clouds are emerging as a key venue for both training – employed by almost a third, 32% of organizations – and inference, 31%.”

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All of this curiosity implies that orders for Nvidia chips are solely getting larger. 

Fascinating, WEKA highlights the difficulty of GPU shortage in plenty of main Asia-Pacific economies, together with India. “India, Taiwan, New Zealand, and Australia are more likely to rank GPU availability among their top three challenges to bringing a model into production,” says the report authors. 

“One of the most striking takeaways from our 2024 Trends In AI study is the astonishing rate of change that’s taken place since the onset of ChatGPT 3 and the first wave of generative AI models reached the market in early 2023,” principal analysis analyst John Abbott advised Blocks & Information. 

“In less than two years, generative AI adoption has eclipsed all other AI applications in the enterprise, defining a new cohort of AI leaders and shaping an emergent market of specialty AI and GPU cloud providers.”

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