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September’s Sustainable Fashion News: 7 Things to Know This Month

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04 Sep, 2024

This post was originally published on Good on You

Every month, the Good On You team scours the internet to bring you the ethical sustainable fashion news that matters—all in one place. Here’s everything you need to know in September 2024.

 

Are Fashion Companies Cutting and Running From Bangladesh? (Sourcing Journal)

Amidst the recent challenges faced by Bangladesh’s garment industry due to protests, political upheaval, and floods, labour rights groups are concerned that fashion brands will desert their suppliers in the region or request discounts on delayed orders, putting even more pressure on workers. In Sourcing Journal’s article, Jasmin Malik Chua explains the situation and talks to experts about the sector’s future.

Max Mara Fashion Group Confirms It Is Fur-Free (WWD)

Max Mara has become the latest luxury fashion brand to confirm it is fur-free, following an 18-month campaign by the Coalition to Abolish the Fur Trade (CAFT), WWD reports. The brand said: “We confirm that the brands of the Max Mara Fashion Group have not been selling fur products for some seasons.” It joins the likes of Gucci, Alexander McQueen, and Burberry, which have all banned fur in recent years.

Seoul Authorities Find Toxic Substances in Shein and Temu Products (France 24)

This isn’t the same story we shared back in July—it’s yet another case of toxic chemicals being found in ultra fast fashion products. Authorities in Seoul have been conducting weekly tests on products sold online, and a recent one found high levels of phthalates, formaldehyde, and dioxane—a chemical that can cause liver poisoning—in SHEIN products, while a pair of sandals from Temu contained lead at more than 11 times the permissible level.

Eco-Friendly Fashion Faces Geographical Barriers in Returns: Study (Fibre2Fashion)

Fibre2Fashion reports on a new study which found that: “Despite activewear companies promoting circular economy initiatives like recycling and mending services, these efforts are often restricted to local or national levels, limiting access for international customers.” Shipping costs were also cited as key blockers to widespread consumer uptake on clothing take-back and repair schemes across the 17 activewear brands assessed for the study.

What Fuels Fashion? New Report Finds Big Fashion is Falling Short of Much-Needed Climate Investments (Fashion Revolution)

Fashion Revolution released What Fuels Fashion?, a special edition of its annual Transparency Report. It analyses and ranks 250 of the world’s biggest fashion brands and retailers on their public disclosures of climate and energy-related actions. Among other important findings, the report says: “Nearly a quarter of the world’s biggest fashion brands disclose nothing on decarbonisation, signifying that the climate crisis is not a priority for them.”

Sustainability Giants Join Forces to Transform Consumer Goods Industry (FashionUnited)

ZDHC Foundation and Cascale (formerly Sustainable Apparel Coalition) have announced the latest in a series of collaborations to drive improved chemical management and environmental performance in manufacturing facilities. In particular, it aims to align industry practices and create a unified approach to measuring impact.

Sustainability Consultancy Eco-Age Closes (Business of Fashion)

In August, Eco-Age founder Livia Firth announced on social media that the sustainability consultancy would close due to financial losses caused by criminal activity, Business of Fashion reports. The agency, which had been around for 17 years, had a significant presence in sustainable fashion.

The post September’s Sustainable Fashion News: 7 Things to Know This Month appeared first on Good On You.

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Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

As enterprises accelerate their AI investments, the energy demand of AI’s power-hungry systems is worrying both the organisations footing the power bills as well as those tasked with supplying reliable electricity. From large language models to digital twins crunching massive datasets to run accurate simulations on complex city systems, AI workloads require a tremendous amount of processing power.

Of course, at the heart of this demand are data centres, which are evolving at breakneck speed to support AI’s growing potential. The International Energy Agency’s AI and Energy Special Report recently predicted that data centre electricity consumption will double by 2030, identifying AI as the most significant driver of this increase.1

The IT leaders examining these staggering predictions are rightly zeroing in on improving the efficiency of these powerful systems. However, the lack of expertise in navigating these intricate systems, combined with the rapidity of innovative developments, is causing heads to spin. Although savvy organisations are baking efficiency considerations into IT projects at the outset, and are looking across the entire AI life cycle for opportunities to minimise impact, many don’t know where to start or are leaving efficiency gains on the table. Most are underutilising the multiple IT efficiency levers that could be pulled to reduce the environmental footprint of their IT, such as using energy-efficient software languages and optimising data use to ensure maximum data efficiency of AI workloads. Among the infrastructure innovations, one of the most exciting advancements we are seeing in data centres is direct liquid cooling (DLC). Because the systems that are running AI workloads are producing more heat, traditional air cooling simply is not enough to keep up with the demands of the superchips in the latest systems.

DLC technology pumps liquid coolants through tubes in direct contact with the processors to dissipate heat and has been proven to keep high-powered AI systems running safely. Switching to DLC has had measurable and transformative impact across multiple environments, showing reductions in cooling power consumption by nearly 90% compared to air cooling in supercomputing systems2.

Thankfully, the benefits of DLC are now also extending beyond supercomputers to reach a broader range of higher-performance servers that support both supercomputing and AI workloads. Shifting DLC from a niche offering to a more mainstream option available across more compute systems is enabling more organisations to tap into the efficiency gains made possible by DLC, which in some cases has been shown to deliver up to 65% in annual power savings3. Combining this kind of cooling innovation with new and improved power-use monitoring tools, able report highly accurate and timely insights, is becoming critical for IT teams wanting to optimise their energy use. All this is a welcome evolution for organisations grappling with rising energy costs and that are carefully considering total cost of ownership (TCO) of their IT systems, and is an area of innovation to watch in the coming years.

In Australia, this kind of technical innovation is especially timely. In March 2024, the Australian Senate established the Select Committee on Adopting Artificial Intelligence to examine the opportunities and impacts of AI technologies4. Among its findings and expert submissions was a clear concern about the energy intensity of AI infrastructure. The committee concluded that the Australian Government legislate for increased regulatory clarity, greater energy efficiency standards, and increased investment in renewable energy solutions. For AI sustainability to succeed, it must be driven by policy to set actionable standards, which then fuel innovative solutions.

Infrastructure solutions like DLC will play a critical role in making this possible — not just in reducing emissions and addressing the energy consumption challenge, but also in supporting the long-term viability of AI development across sectors. We’re already seeing this approach succeed in the real world. For example, the Pawsey Supercomputing Centre in Western Australia has adopted DLC technology to support its demanding research workloads and, in doing so, has significantly reduced energy consumption while maintaining the high performance required for AI and scientific computing. It’s a powerful example of how AI data centres can scale sustainably — and telegraphs an actionable blueprint for others to follow.

Furthermore, industry leaders are shifting how they handle the heat generated by these large computing systems in order to drive further efficiency in AI. Successfully using heat from data centres for other uses will be a vital component to mitigating both overall energy security risks and the efficiency challenges that AI introduces. Data centres are being redesigned to capture by-product heat and use it as a valuable resource, rather than dispose of it as waste heat. Several industries are already benefiting from capturing data centre heat, such as in agriculture for greenhouses, or heating buildings in healthcare and residential facilities. This has been successfully implemented in the UK with the Isambard-AI supercomputer and in Finland with the LUMI supercomputer — setting the bar for AI sustainability best practice globally.

The message is clear: as AI becomes a bigger part of digital transformation projects, so too must the consideration for resource-efficient solutions grow. AI sustainability considerations must be factored into each stage of the AI life cycle, with solutions like DLC playing a part in in a multifaceted IT sustainability blueprint.

By working together with governments to set effective and actionable environmental frameworks and benchmarks, we can encourage the growth and evolution of the AI industry, spurring dynamic innovation in solutions and data centre design for the benefit of all.

1. AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works – News – IEA
2. https://www.hpe.com/us/en/newsroom/blog-post/2024/08/liquid-cooling-a-cool-approach-for-ai.html
3. HPE introduces next-generation ProLiant servers engineered for advanced security, AI automation and greater performance
4. https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Adopting_Artificial_Intelligence_AI

Image credit: iStock.com/Dragon Claws

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