Huawei’s OlympusMons Challenges Return for Fifth Year, Pushing Boundaries with Innovation


January 1, 2025 by our News Team

Huawei's OlympusMons Awards competition is now open to international contestants, challenging researchers to explore cost-efficient storage technologies and innovative data foundations for the AI era, with a focus on breakthroughs in cost-effective training and inference technologies, new storage forms, and more efficient processing technologies.

  • Opportunity for international contestants to participate
  • Focus on research in storage technologies and data foundations
  • Prestigious accolade in the data storage industry


Hey there, tech enthusiasts! We’ve got some exciting news for you today. Huawei, the tech giant, has just announced that their OlympusMons Awards competition is now open to international contestants. If you’re passionate about storage technologies and data foundations for the AI era, this is your chance to shine!

So, what are the challenges for this year’s competition? Well, Huawei is calling on researchers from all over the world to dive into two major areas. The first challenge revolves around “Storage Technologies That Deliver Ultimate Per-Bit Cost Efficiency.” In simpler terms, they want to explore ways to make storage more cost-effective while maintaining top-notch performance. Think about it: how can we store massive amounts of data without breaking the bank? Researchers are encouraged to explore innovative media applications, lossless compression technologies, and other exciting avenues to tackle this challenge.

The second challenge is all about “New Data Foundations for the AI Era.” We all know that artificial intelligence is taking the world by storm, but it comes with its fair share of hurdles. Huawei wants researchers to address issues like limited bandwidth between xPUs (that’s a fancy term for processors) and storage, low utilization of computing clusters, extended inference Latency, and rising data storage costs. These are some big challenges, but they’re crucial for the advancement of AI technology. Huawei is specifically looking for breakthroughs in cost-effective center/edge training and inference technologies, new storage forms, innovative data management methods, and more efficient processing technologies tailored for AI scenarios. Phew, that’s a mouthful!

Now, you might be wondering why Huawei is so invested in foundational data storage. Well, they’ve always had a keen focus on this area and have been pouring resources into research. The OlympusMons Awards are just one part of their commitment to pushing the boundaries of data storage. Huawei has also partnered with top research institutes and universities around the world, establishing joint labs to foster collaboration and innovation.

Since its inception in 2019, the OlympusMons Awards have attracted over 240 scholars from across the globe. It has quickly become one of the most prestigious accolades in the data storage industry. So, if you’re a researcher with a passion for storage technologies and data foundations, this is an opportunity you don’t want to miss!

For more information about the OlympusMons Awards and how to participate, head over to their official website at https://e.huawei.com/en/topic/storage/olympus-mons-awards. Get ready to unleash your creativity and make a mark in the world of data storage and AI. Good luck!

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Technology Explained


Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.

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