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Top Rated Fashion Brands Using Vegan Plastic-Free Materials

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14 Jan, 2025

This post was originally published on Good on You

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There’s a misconception that vegan fashion means a reliance on plastic-based materials like polyester, but that’s no longer the case in a world of innovative plastic-free materials. Discover some top rated fashion brands using vegan plastic-free materials in their stylish designs, leaving a lighter impact on people, the planet, and animals.

 

The evolution of vegan fashion

Vegan fashion is an exciting scene filled with people who care deeply about their impact on the planet and the animals we share it with.

In its infancy in the mid-20th century, vegan fashion primarily responded to ethical concerns about using animal-derived materials such as leather, wool, and fur. Back then, options were limited and styles often lacked the sophistication of conventional fashion. Think beige shift dresses and hemp socks.

However, the movement has gained momentum over the decades as consumers, designers, and brands recognise the importance of cruelty-free fashion. Today, vegan fashion has blossomed into a thriving industry. Lyst reported a 178% page view increase for “vegan leather” in 2021, and trends across the board indicate increases in searches around terms like “vegan” and “cruelty-free” alongside “organic” and “second-hand”, speaking to the growing consumer awareness of our wardrobes’ impacts.

And in 2025, vegan fashion is more accessible and stylish than ever, but it also reflects this growing awareness of the interconnectedness of fashion, ethics, and sustainability, with new materials like plant-based leather alternatives, organic fabrics, and more sustainable production methods becoming increasingly mainstream. The evolution of vegan fashion serves as a testament to the power of conscious consumer choices and the capacity of the fashion industry to adapt to changing values and preferences.

But isn’t vegan fashion just plastic?

A common misconception is that vegan fashion equates to plastic-based clothing, but this is far from the truth. While much of the technically “cruelty-free” fashion you can find lining the racks of fast fashion stores is made completely from harmful plastic-based materials like polyester, nylon, and PVC, vegan fashion by more sustainable brands often takes a more holistic approach, ensuring the materials they use aren’t just free from animals, but from unnecessary harm to the environment and workers, too.

Many (vegan) fashion brands are adopting innovative non-plastic materials that align with the principles of circular fashion, such as recyclability and biodegradability. More common materials like TENCEL Lyocell, hemp, and organic cotton often take centre stage, but other options are also becoming available. It’s important to note that some of these products may contain small amounts of materials like recycled polyester, but that doesn’t discount the reduced impact of the items overall. Some of the brands listed are not entirely vegan, but all products mentioned are.

Vegan plastic-free materials and the brands incorporating them

MIRUM

MIRUM is a 100% USDA Certified Biobased Product made from a combination of virgin natural materials such as natural rubber, plant oils, and cork. In addition to having an extremely low carbon footprint, MIRUM requires no water during manufacturing and dyeing.

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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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