CyberKnight Partners with MinIO to Bring World's First Hyperscale Object Store for AI to the Region
According to the IDC, the object storage market has been growing at a rate of around 17% annually in recent years. By the end of 2025, the global object storage market was projected to exceed $20 billion. In addition, Gartner has predicted that by 2026, distributed object storage deployments will have tripled over the previous four years with 60% of these deployments being hybrid cloud deployments.
As enterprises accelerate AI, machine learning, big data, and analytics initiatives, they require hyperscaler-grade storage that delivers speed, flexibility, and efficiency without the high costs of public cloud services. MinIO AIStor is purpose-built to address these needs, offering high-performance object storage designed for AI-driven workloads and large-scale data environments. Unlike traditional storage solutions, AIStor is architected using the same principles as hyperscalers, delivering industry-leading performance at a fraction of the cost of public cloud alternatives.
'Our relationship with MinIO equips our partners with cutting-edge, deploy anywhere storage solutions that are fast, scalable, cost-effective and bridge the gap associated with fragmented cloud dynamics in the region including local data privacy, sovereignty and residency requirements. With unique features like multi-cloud interoperability, Kubernetes-native integration, and advanced data management capabilities, together we can optimize storage infrastructure for modern AI-driven workloads.', commented Wael Jaber, Chief Strategy Officer at CyberKnight.
'As AI-driven workloads become the backbone of modern enterprises, having a high-performance, scalable, and secure object store is critical. CyberKnight extends MinIO's enterprise-grade object storage to organizations that demand speed, resilience, and flexibility in managing vast datasets for AI and cybersecurity applications. Together, we are enabling businesses to build the future of AI with a foundation that is performant, scalable, and proven.', added Zayed Abu Alhaj, Regional Head of META at MinIO.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
The National
9 hours ago
- The National
How to cool AI data centres in the desert
In the epic 1962 film Lawrence of Arabia, there's a line from Omar Sharif's character, Sherif Ali, that inadvertently illustrates the current conundrum posed by AI data centres. 'The well is everything,' Sherif Ali tells T E Lawrence, pointing to a well – a subtle motif that recurs throughout the film emphasising how scarce and coveted water supplies are in the desert. Fast forward to 2025, and although water is more readily available throughout the region, supplies are still vulnerable. According to the World Bank, of the 17 most water-stressed countries in the world, 11 are in the Middle East and North Africa, making it one of the worst-affected regions. At the same time, the region is in the middle of an economic renaissance made possible through artificial intelligence. Along with the promise of AI, however, comes the need for huge data centres capable of handling all the commands from users around the world. The data centres, consisting of incredibly powerful servers with thousands of central processing units and graphics processing units, need to stay cool somehow. This cannot be achieved by the small fans we've grown accustomed to in our laptops and desktop PCs. Many of the newest data centres have elaborate air conditioning systems and geothermal cooling set-ups, but they also often rely on liquid-based cooling methods – and that's where water comes in. According to Alphabet-owned Google's 2024 environmental impact report, the company's data centres 6.1 billion gallons of water, a 17 per cent increase compared to 2022. While not all data centres are the same, experts tell The National that cooling methods pose a challenge in terms of equitably maintaining supplies. 'The Gulf's data‑centre boom is running head‑on into the laws of physics,' said Mohammed Soliman, director of the strategic technology programme at the Washington-based Middle East Institute think tank. 'AI workloads generate far more heat than traditional cloud operations, and in a region where summer air can hit 50°C, cooling at scale is the gating factor on how big you can build up at scale to capture a significant percentage of the global compute map outside of the US and China.' Unlike the US and Europe, the Middle East cannot count on ample supplies of cold water for heat exchange, he added. That simple factor means companies operating data centres in the Middle East will have to use what is known as two-phase immersion cooling systems. These systems can help recycle and save water, though it can be expensive and they are far from perfect. Mr Soliman said newer data centres planned for throughout the Middle East might also be able to be paired with existing desalination plants, so the heat generated by the centres can be 'put to work' rather than wasted. He added that while the warmer climate in the region poses an initial problem, technology is quickly evolving, and once the cooling and water conservation methods are perfected for data centres, the Middle East will ultimately benefit. 'If you crack the cooling challenge in the Gulf … you unlock the one missing piece in an otherwise world‑class AI ecosystem,' he said. 'It would give the Gulf the ability to compete head‑to‑head with the natural climate advantages of Scandinavia and Canada.' Innovations could lead to the Middle East being the most optimal place to 'bring chips online', Mr Soliman added. Even in climates deemed more ideal for data centres, problems persist when it comes to keeping them cool. In late March, OpenAI chief executive Sam Altman said so many people around the world were using a new feature in the company's ChatGPT offering that the company's own servers began to encounter problems. 'Our GPUs are melting,' he posted on X. OpenAI temporarily put limits on how many people could use the new feature, he added. Meanwhile, as data centre construction has boomed over the past decade, the cooling technology making it all possible has blossomed. According to Markets and Markets' research, as of 2025, the cooling sector was worth about $11 billion, and if current trends continue, it is set to reach $24 billion by 2032. With environmental stewardship remaining paramount in many countries, companies in the technology sector seem keenly aware of the need to improve the efficiency of data centres, along with the need to cut down on the water many of them use. Thar Casey, chief executive of AmberSemi, a company that has 'pioneering and patented' digital power management technology, said increasing efficiency was key to maintaining the cool temperatures necessary inside data centres. 'If we're cutting the losses inside the centres through efficiency, are we going to need that much cooling? The answer would be no,' he said. Mr Casey – who recently attended the Pennsylvania Energy and Innovation Summit along with Khaldoon Al Mubarak, Mubadala's managing director and chief executive, and chairman of the UAE Executive Affairs Authority – said Gulf countries are showing tremendous interest in increasing the efficiency of data centres. He added that the UAE, which recently announced plans for 5GW UAE-US AI Campus, is showing a particular affinity for lessening the environmental footprint of data centres while maximising the newest cooling technology. 'It's extremely important to them and my message to these countries is that there is a way to solve the energy challenge inside the data centre,' he said, referring to AmberSemi's conversion lines and switch controllers used by semiconductor companies and makers of electrical products. Even the smallest increases of efficiency, Mr Casey said, could lead to significant electricity consumption, as well a major reduction in potential water used for liquid cooling methods of CPUs and GPUs. With the Middle East rapidly stepping up its AI ambitions, coupled with the region's affinity for improving water security, those data centre efficiencies could prove to be long-term game-changers.
Khaleej Times
12 hours ago
- Khaleej Times
AI without internet: How graduate from UAE's MBZUAI creates smart apps that work offline
When Daniel Gebre was growing up in Dekemhare, a small city in Eritrea, internet access was a rare luxury. He and his classmates would take turns using a single campus connection, share downloaded files, and rely on offline copies of Wikipedia just to study. That experience stayed with him — not as frustration, but as fuel. 'Growing up in a place where internet access was scarce, I know the frustration of being curious and eager to learn but constantly being held back by limited digital resources,' he said. 'That challenge pushed me to think about how technology could be made to work in environments like the one I came from.' Now 27, Gebre is a recent graduate of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), where he focused his master's research on how to bring artificial intelligence (AI) tools to people without internet access. His thesis project, iShrink, compresses large language models (LLMs) so they can run offline on mobile devices — an innovation aimed at students and professionals in low-connectivity areas. 'There were times in Eritrea when even downloading a simple document or video was a challenge,' he said. 'iShrink is about making sure people do not have to wait for internet access to be part of the AI conversation.' How it works 'In simple terms, iShrink is a framework designed to make large language models smaller and more efficient without significantly affecting their performance,' Gebre explained. 'It does this by identifying and removing parts of the model that are less important, then fine-tuning the remaining components so they still work well. This makes the models faster, lighter, and easier to run on devices with limited resources.' Shrinking smaller models poses a unique challenge, he said, because they contain fewer redundant parameters compared to larger models. 'Despite this, we achieved about a 22.5 per cent and 19.7 per cent size reduction on models such as LLaMA 3.1-1B and Falcon 1B respectively.' 'iShrink currently supports LLaMA, Falcon, and Qwen models, with plans to expand to other open-source architectures in the future.' To test the tool, Gebre developed a mobile application that runs entirely on a local device. 'The results were promising,' he said. 'In the future, I aim to enhance it with voice and multimodal capabilities to make it even more useful in real-world scenarios,' he added, 'I plan to make iShrink fully open source so it can be used and improved by the AI community.' Scholarship to the UAE Gebre moved to the UAE in 2019 on a scholarship from the Ministry of Education, awarded to top engineering students in Eritrea. He completed his undergraduate degree in information technology at Zayed University with a focus on cybersecurity. It was during a research internship at MBZUAI that his direction changed. Mentored by Dr Moayad Aloqaily and Professor Mohsen Guizani, he became immersed in the possibilities of AI and how it could address real-world problems. 'They really encouraged me to explore AI more seriously,' he said. 'I had planned to pursue my master's elsewhere, but Professor Mohsen kept urging me to apply to MBZUAI. Eventually I did, and that decision changed everything.' Gebre described his first semester of graduate school as the most difficult academic experience of his life. He spent long nights reinforcing his math skills and adjusting to the pace of the programme. 'I had to catch up fast,' he said. 'There were days I studied until three in the morning just to stay afloat.' His perseverance paid off. He completed his thesis, co-authored three academic papers, and presented at international conferences, including the IEEE International Conference on Human-Machine Systems in Abu Dhabi. 'You really grow when you take ownership of your learning,' he said. 'It was difficult, but transformative.' From research to real-world impact Since graduating in May 2025, Gebre has joined Inception, a G42 company, as an Applied Scientist. He is now working on domain-specific AI solutions for industry — a transition supported by a prior internship at the Technology Innovation Institute. 'That was the first time I saw what it takes to bring AI into production,' he said. 'It gave me a much clearer picture of how research turns into impact.' While his focus today is on refining his skills in industry, Gebre's long-term mission remains unchanged: to expand access to technology for underserved communities. 'In Eritrea, many students still have not heard of tools like ChatGPT or Gemini,' he said. "Even at college, they often have to gather around one internet access point to download materials. The gap is real, which means the potential is even greater." Future plans "Absolutely," he said, when asked whether he plans to return to Eritrea to work on digital infrastructure and education. 'Given the current technology gap in our country, I want to be among the pioneers who lay the foundations for a thriving tech industry in Eritrea. My goal is to lead AI enablement programs across various domains and initiatives.' When it comes to Eritrea's many ethnic groups and languages, he believes the lack of digital representation is an issue that can and should be addressed. 'Our population is around six million, and while English is used in some areas, it is not universal,' he said. 'The main challenges are data and computation. As a small population country, gathering sufficient data is not easy. Most of our literature in local languages exists in hard copy form, so collecting these materials, digitising them, and preparing them for training is a significant but achievable task. With adequate resources and collaboration, it is certainly possible to build such a model.' 'At the moment, I am fully engaged in my role at Inception. In the future, I plan to launch an initiative to bring together individuals with backgrounds in AI, machine learning, and natural language processing to contribute to open-source projects that develop models aligned with Eritrea's diverse languages, cultures, and values.' Advice to students from under-served communities 'During a panel discussion at MBZUAI, one of my professors said that the key to excellence in any field is mastering the fundamentals, no shortcuts. That advice completely changed my perspective, and I would pass it on to anyone starting out in AI,' he explained. 'For students from backgrounds similar to mine, I would add that talent and good academic performance are not enough. The right mindset, consistent effort, strong interpersonal skills, and building a solid professional network are equally important in determining how far you can go.' When he received his degree, his mother was in the audience — a proud moment marking how far he had come. 'I am so grateful to the UAE for giving me this opportunity,' he said. 'It changed the course of my life.' He hopes his work is only the beginning. 'If iShrink or any part of what I have done can help students like me learn, explore, and grow — no matter where they live or what resources they have — that's the kind of impact I want to keep building.'
Gulf Business
16 hours ago
- Gulf Business
Dubai's Tax Star launches UAE's first AI-powered corporate tax software
Developed in Dubai, Tax Star is the UAE's first corporate tax software to harness artificial intelligence, designed to help accountancy firms and in-house finance teams save time, avoid penalties, and manage more clients without increasing headcount. Built to address the complexities of the new UAE corporate tax regime, it is adept at handling varied tax rates, exemptions, and allowances. Created by accountants for accountants, Tax Star integrates seamlessly with existing systems to automate daily tasks. After more than 18 months in development, it combines smart tax calculation, compliance tracking, client approvals, document storage, and multiple integrations in a single platform. AI is playing an expanding role in the UAE's accounting sector, covering corporate tax, VAT, ESG, AML, and other compliance requirements. While many tools focus on advisory guidance, Tax Star delivers complete workflow automation—from calculation to filing. 'Our vision is to build a global tax technology company, proudly headquartered in Dubai,' said Rayhan Aleem, co-Founder and CEO of Tax Star. 'We aim to help accountants supercharge their capabilities by enhancing productivity and reducing reliance on manual processes. Although businesses are now legally required to retain records for at least seven years, many still have tax-related documents scattered across emails, WhatsApp, accounting systems, and internal servers. Tax Star keeps everything in one place – structured, accessible, and audit-ready so firms stay compliant without the chaos.' Read: Rayhan added: 'What excites us most is how our AI-powered platform is reshaping compliance into something far more strategic. We are not just doing the calculations; we are replacing manual spreadsheets with a system that automates corporate tax from start to finish. This shift allows accountants to devote more time to focus on higher-value advisory work. By building intelligent tools that simplify tax calculations, we're doing more than streamlining a process; we're giving accounting firms a way to scale smartly, advise confidently, and lead the future of tax in Dubai and beyond.' According to accountancy firms using the software, Tax Star's AI-powered corporate tax calculator reduces processing time by 75 per cent and enables them to serve 50 per cent more clients. The company is now developing group tax calculation capabilities for businesses operating under group structures, simplifying return filings through a unified framework.
