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Theta Labs welcomes Peking University as new EdgeCloud AI Customer
11 hours ago
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We are thrilled to announce the addition of Peking University (also known as Beijing University), ranked Top 10 in the world in computer science alongside MIT and Stanford, as an EdgeCloud AI customer. Theta has achieved significant momentum in both US and Korean academia, with institutions like the University of OregonKorea UniversitySeoul Women’s University (SWU)KAISTHankuk University, and Yonsei University utilizing its hybrid cloud GPU infrastructure to advance AI research. EdgeCloud also recently added key corporate customers including Liner, a global leader in generative AI-powered search solutions and Jamcoding, a prominent e-learning coding platform.

This marks an important milestone in Theta’s mission to support advanced AI and blockchain research through hybrid cloud GPU infrastructure. Founded in 1898, Peking University is one of China’s oldest and most prestigious research institutions, renowned for its top-tier programs in science, technology, and innovation and consistently ranked among the world’s leading universities. Known for its pioneering work in AI, distributed computing, and big data research, Peking University will leverage Theta’s high-performance EdgeCloud platform to accelerate innovation across these fields.

About Professor Zhen Xiao and His Research

Professor Zhen Xiao, a renowned researcher in distributed systems and AI, is a tenured professor at the School of Computer Science at Peking University. With a Ph.D. from Cornell University, Professor Xiao leads a lab that has published over 100 high-impact papers featured at leading conferences and journals such as USENIX ATC, SOCC, and IEEE TPDS, accumulating close to 8000 citations — a testament to his influence in research fields including distributed systems, deep learning, blockchain, and cloud computing.

The collaboration between Theta Labs and Professor Xiao started in 2022 when he joined the Theta Advisory Board and was instrumental in the early development of the EdgeCloud platform. The collaboration has also resulted in several joint research papers published in top AI and distributed systems conferences, including:

  • CVPR (Conference on Computer Vision and Pattern Recognition): A prestigious forum for computer vision, focusing on AI-driven image and video analysis (paper summary).
  • KDD (Knowledge Discovery and Data Mining): The premier event for data mining and machine learning research (paper summary).
  • WWW (Web Conference): An influential conference on the future directions of the World Wide Web, including foundational technologies like AI and blockchain (paper summary).
  • MM (ACM Multimedia): A key conference for multimedia computing, addressing AI applications across video, image, and audio data (paper summary).
  • SRDS (International Symposium on Reliable Distributed Systems): A well-regarded event for research on distributed systems with an emphasis on reliability and security (paper summary).

Through these publications, Prof Xiao’s team together with Theta Labs have contributed significantly to advancements in the cross-section of AI and blockchain, specifically in adaptive defense mechanisms for AI models, distributed AI workload scheduling and placement, scalable blockchain frameworks, and cross-shard transaction optimization.

Enhancing AI Research with Theta EdgeCloud

With the support of EdgeCloud’s hybrid cloud GPU infrastructure, Peking University researchers will be able to scale their AI and distributed computing projects to new heights. EdgeCloud will enable Professor Xiao’s team to carry out state-of-the-art research initiatives in distributed machine learning, blockchain state placement, and neural network optimization.

“I’ve been working with Jieyi and the Theta engineering team for more than two years, and saw the incredible innovation and development that led to the launch of EdgeCloud. It is one of the most complex hybrid GPU infrastructure systems I’ve seen in my career,” ~ said Professor Zhen Xiao. 

 

“Now, I’m thrilled that my AI lab at Peking University and dozens of my researchers and staff members can benefit from using EdgeCloud to drive large-scale distributed AI research. We’re looking forward to replacing all of our existing lab and cloud based GPU resources with EdgeCloud’s hybrid cloud edge infrastructure.”

Professor Xiao and his entire team at Peking University have been instrumental in the development of the EdgeCloud platform and providing us invaluable AI insights in the last three years. Theta now has the most-adopted decentralized GPU platform for academia in Asia, and is quickly expanding to North America and the rest of the world. We believe the next major disruption in AI will come from infrastructure companies that harness distributed GPU and computation at scale, with minimal overhead costs and leverages excess resources and capacity. Theta’s edge network and the EdgeCloud platform is ideally positioned to lead this trend.

 

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Why xAI's Rivals Struggle to Build A Supercomputer
How Google & The Theta Network May Be In The Solutions

The recent announcement of Elon Musk’s xAI Colossus cluster, featuring 100,000 NVIDIA H100 GPUs and a 150MW power supply, has set a new standard for AI supercomputing. As companies like OpenAI and other tech giants aim to match or surpass this achievement, they will likely face several challenges:

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  • Cost and Budgeting: The estimated cost of building and maintaining an AI supercomputer of this scale is likely to be substantial. Companies will need to allocate significant budgets and manage costs effectively to ensure the project’s viability.

To overcome these challenges, companies will need to invest in research and development, partner with specialized providers, and develop innovative solutions to integrate and manage their AI supercomputing infrastructure. The pursuit of xAI Colossus’ benchmark will drive innovation and advancement in the field of AI, but it will also require significant resources and strategic planning.

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The unveiling of xAI Colossus signals a transformative era for AI supercomputing, setting an ambitious benchmark that will inevitably drive the industry forward. However, the road to achieving comparable feats is fraught with challenges that demand unprecedented levels of innovation, collaboration, and strategic foresight.

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    Companies must rethink data center architectures to efficiently house and manage GPU clusters at scale. Modular and liquid-cooled designs are likely to become standard, offering improved efficiency and scalability while reducing environmental impact.

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    Ironically, AI itself could assist in managing these massive systems. Intelligent algorithms can optimize GPU workloads, predict maintenance needs, and streamline resource allocation, reducing both costs and complexity.

Impact on the AI Ecosystem

As tech giants and startups alike chase the supercomputing crown, the ripple effects will reshape the AI landscape. Expect breakthroughs in fields such as natural language processing, generative AI, and robotics as these machines unlock new levels of computational power. Additionally, the competitive pressure will accelerate advancements in energy-efficient hardware, cooling systems, and AI algorithms.

Final Thoughts

Elon Musk’s xAI Colossus has redefined the possibilities for AI infrastructure, but it’s more than just a showcase of technical prowess—it’s a catalyst for innovation. The challenges it presents to competitors will inspire solutions that benefit the entire industry. As companies gear up to meet or surpass this standard, the future of AI supercomputing looks brighter than ever.

The age of AI colossi is here. Will the next giant leap come from Musk’s peers, or an unexpected disruptor? Only time will tell.

 

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XRP price breaks $1 barrier after 100% weekly surge

Momentum around XRP has surged to new heights, doubling its market cap in just one week and capturing the attention of the global crypto community. 

The token blasted past the critical $1 psychological level over the weekend, reaching an intraday high of $1.23 before settling at $1.15, after climbing as much as 97.21% in a week.

What’s more, the past week has seen XRP’s market cap leap from $33 billion to $66 billion, a remarkable feat that has reignited global interest in the digital asset, as per data retrieved by Finbold from CoinMarketCap.

XRP’s dramatic rise has been fueled by a combination of technical indicators, legal developments, and speculation about future market conditions.

The token’s current performance reflects an 84% increase over the past year, placing it among the strongest movers in the crypto space. With 18 green days out of the last 30 and trading well above the 200-day simple moving average, XRP is defying broader market trends, even outperforming half of the top 100 cryptocurrencies over the past year. 

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Open interest in XRP/USD futures contracts surpassed 2 billion tokens on Sunday, reaching nearly $2 billion in value at current prices. Despite the strong momentum, trader sentiment appears divided. Data reveals that 51% of participants are taking short positions, anticipating a near-term pullback in the derivatives market.

                                     XRP open interest. Source: Coin Glass 

 

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Traders are banking on the possibility that Ripple’s domestic ties and strategic focus could position XRP as a key beneficiary of a more favorable regulatory environment.

 

RLUSD stablecoin

Ripple Labs is also gearing up for the launch of RLUSD, a stablecoin designed to revolutionize liquidity in cross-border payments. This development could add significant long-term value to XRP by strengthening its utility and expanding Ripple’s ecosystem.

The stablecoin will play a crucial role in Ripple’s cross-border payments products, reducing transaction costs and settlement times while enhancing liquidity. 

Beyond traditional use cases, RLUSD holds the potential to integrate with decentralized finance (DeFi) protocols, allowing Ripple to tap into a broader network of blockchain ecosystems. Such versatility could solidify XRP’s position as a utility-driven asset, attracting both institutional and retail investors looking for more than speculative gains.

 

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