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Material Guide: What Is Cupro Fabric and Is It Sustainable?

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26 Jan, 2024

This post was originally published on Good on You

Cupro is a silky man-made cellulosic fibre often touted as a more sustainable alternative to rayon fabrics. Here’s the low-down on cupro.

Is the silky alternative to rayon as sustainable as they say?

When producing clothes, the fashion industry uses a wide variety of materials. They can typically be separated into basic categories including plant-based like cotton, synthetic like polyester, animal-derived like silk, or man-made cellulosic fibre like viscose.

Cupro is a man-made cellulosic fibre which is made from cotton linters. Cotton linters are short, downy fibres which are a by-product of the manufacture of cottonseed oil. It’s one of the less well-known man-made cellulosic fibres, as consumers are generally much more familiar with TENCEL and viscose.

But exactly what is cupro fibre? How is it made? And is it a more sustainable and ethical option? Read on to find out.

What is cupro, exactly?

Cupro is a “regenerated cellulose” fibre made from cotton waste. It’s made using the teeny tiny silky cotton fibres, known as linter, that stick out of the cottonseed and are too small to spin. The linter is dissolved into a cuprammonium solution, which is a mixture of copper and ammonium, dropped into caustic soda, then spun into fibre. Much like TENCEL Lyocell and modal, cupro is a plant-based material that is chemically processed to produce the resulting fibre.

Cupro is said to have all the positive qualities of silk: it’s silky-smooth and drapes just like the luxurious material, although unlike silk cupro ignites easily and leaves behind copper-containing residue. First invented in the 1900s in Germany, cupro is now solely manufactured by Asahi Kasei in Japan under the trademark Bemberg. You might also see it called “ammonia silk” and “cuprammonium rayon”.

Is cupro a lower-impact fabric?

There’s no straightforward answer just yet, but you can consider this one to watch.

Cupro is a by-product of cottonseed oil production. We know by now that cotton production is a very wasteful and intensive process—it requires a massive amount of water and pesticides when it’s not organic, and even organic cotton can come with its own sourcing issues. So using every bit of the cotton plant helps reduce waste.

Since cupro is plant-based—unlike silk, which comes from silkworms—it is vegan and cruelty-free. Plus, unlike silk again, it is machine washable, which has a lower impact than the dry cleaning required for delicate silk garments. It is also a lot cheaper to produce and more affordable to purchase.

Production of cupro has undergone a positive transformation in recent years, and now its sole manufacturer employs a closed-loop system: “We strictly control the chemical substances used in the manufacturing process and have introduced a closed-loop production system that recovers and reuses copper and ammonia,” they say.

Being made from a pre-consumer material obtained from the manufacturing process of cottonseed oil, it isn’t clear the conditions in which the cotton was originally farmed and processed, but you can view the partner factories on the Bemberg information website.

One to watch, according to our expert analysts

It’s important to note that Good On You’s methodology does not yet classify cupro as a lower-impact fabric, but the improvements made to the fibre in recent years could see that change in the near future. The fibre is currently being reviewed by our expert analysts now that the manufacturer has disclosed more information relating to the processes behind the fibre and provided some traceability information.

To summarise our current observations, there are pros and cons to consider. The positives of cupro are that it’s made from waste materials, some renewable energy is used in the manufacture of the fibre, and a closed loop system is used for the recovery of chemicals. On the other hand, the water consumption associated with the manufacture of the fibre is unclear, and we need to review a Life Cycle Assessment (LCA) before we conclude whether or not to classify it as a lower-impact material.

Other options to consider

While cupro is technically a cruelty-free alternative to silk, since its sustainability isn’t entirely clear yet, there are other vegan silk alternatives out there worth looking into too, like TENCEL Lyocell and recycled satin. If you must buy it, check if the brand shares information about where its cupro is made and how it’s handled. It’s equally important to consider the working conditions and manufacturing when thinking about the sustainability of a fabric. Be sure to choose brands that are transparent about their processes to make the most ethical choice for people, the planet, and animals.

The post Material Guide: What Is Cupro Fabric and Is It Sustainable? 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

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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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