The Technology Year in Stories: October 2024
It’s well known that businesses all over the world are struggling with the twin imperatives of digital transformation and environmental sustainability.
Companies are under increasing pressure to reduce their carbon footprint while simultaneously under pressure to enhance their technological capabilities.
This pressure primarily stems from sources including worldwide ones like consumer demand, as people want more sustainable products and supply chains as they become more environmentally conscious, to more dependent pressures, like regulatory bodies and investors.
As a result, IBM, the multinational technology company, has conducted a study into how organisations are addressing these challenges by utilising technology.
The IBM Institute for Business Value surveyed 1,100 global executives to understand the adoption of sustainable computing practices and infrastructure.
Perhaps unsurprisingly, the study found a growing trend towards using AI and hybrid cloud solutions to optimise IT operations and reduce environmental impact.
The IBM study found a marked increase in the adoption of generative AI (Gen AI) for sustainable IT initiatives.
The report predicts that this increase will reach 230% in organisations applying Gen AI to green IT initiatives by 2027.
The study also found that 27% of organisations were using post-pilot Gen AI in sustainable IT initiatives and operations in 2023.
Kareem Yusuf, Ph.D, Senior Vice President of Product Management & Growth at IBM Software, says: "It is crystal clear that sustainability challenges are also business challenges.
"Companies that want to thrive in today's competitive landscape need a deep understanding of their waste, energy costs, environmental risks and supply chains."
AMD Unveils CPU & GPU Solutions in AI Leadership Bid
As demand for specialised AI hardware continues to surge, driven by the widespread adoption of generative AI technologies across industries, Advanced Micro Devices (AMD) has launched a new range of artificial intelligence (AI) accelerators and networking solutions, intensifying its competition with market leader Nvidia in the rapidly growing AI chip sector.
The global AI chip market, valued at US$123bn in 2023, is projected to reach US$311bn by 2028, according to research firm MarketsandMarkets. Nvidia currently dominates this space, with its graphics processing units (GPUs) powering much of the world’s AI infrastructure. However, AMD, long known for its central processing units (CPUs) and GPUs for personal computers and data centres, is making a concerted effort to capture a larger share of this lucrative market.
Announced at its 2024 Advancing AI event, AMD’s new offerings – which include high-performance accelerators, networking components and the availability of its latest AMD EPYC processors – are designed to address the growing need for more powerful and efficient AI computing solutions. These products aim to compete directly with Nvidia's data centre GPUs, which have become the de facto standard for training and running large language models that underpin popular AI applications like ChatGPT.
Having recently celebrated its 55th birthday, AMD is looking ahead at the opportunities the new AI era presents, believing that AI’s full potential will be realised when the technology is pervasive, announcing recent acquisitions of ZT Systems for US$4.9bn and Finnish startup Silo AI for US$665m as part of a major push into the AI infrastructure market.
“The data centre and AI represent significant growth opportunities for AMD, and we are building strong momentum for our EPYC and AMD Instinct processors across a growing set of customers,” said AMD Chair and CEO Dr Lisa Su. “Looking ahead, we see the data center AI accelerator market growing to US$500bn by 2028. We are committed to delivering open innovation at scale through our expanded silicon, software, network and cluster-level solutions.”
Three More October Highlights
How Samsung's AI Ambitions Have Driven Chip Focus
Global Survey Reveals Critical AI Security Skills Shortage
How is ServiceNow Expanding AI Growth?
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