Core Insights - Eviden, a product brand of Atos Group, has announced the rankings of its 58 supercomputers in the TOP500 and Green500 lists, highlighting its leadership in advanced computing and energy efficiency [1][3]. Group 1: Supercomputer Rankings - JUPITER, through its Booster partition, is ranked as the 4th most powerful supercomputer globally and the 1st in Europe, marking a historic achievement as the first European system to surpass the ExaFlop barrier, performing one billion billion calculations per second [2][5]. - JUPITER is recognized as the most energy-efficient exascale-class supercomputer, achieving 63 GigaFlops per watt, which demonstrates superior performance-per-watt compared to its competitors [6][9]. Group 2: Green500 Leadership - Eviden has maintained its lead in the Green500 rankings for the fourth consecutive edition, with KAIROS, ROMEO, and Levante GPU extension occupying the top three positions, achieving 73, 70, and 69 GFlops per watt respectively [3][8]. - The Green500 ranking emphasizes the importance of energy efficiency in high-performance computing, with higher GFlops per watt indicating lower energy consumption and costs [8]. Group 3: Innovation and Sustainability - The achievements of Eviden underscore its commitment to innovation, performance, and sustainability, facilitating the adoption of AI and large-scale simulations for various scientific and technological advancements [4][9]. - JUPITER's development involved sustainable design practices and aims to set global efficiency standards, forming the core of the JUPITER AI Factory, which will provide secure access to AI models for research and industry [7][9]. Group 4: Company Overview - Eviden operates in 36 countries with approximately €1 billion in revenue, focusing on advanced computing, cybersecurity products, mission-critical systems, and vision AI [10]. - The company employs over 4,500 professionals and holds more than 2,100 patents, offering a robust portfolio of innovative and eco-efficient solutions in AI, computing, security, data, and applications [11]. Group 5: Atos Group Context - Atos Group, with around 67,000 employees and annual revenue of approximately €10 billion, is a global leader in digital transformation, emphasizing a secure and decarbonized future [12]. - The Group operates under two brands, Atos for services and Eviden for products, and is committed to providing tailored AI-powered solutions across various industries [12][13].

Now for more on Core Weave, let's bring in Moffett Nathansson managing director Nick Delo. Nick, you've been sort of cautious on this name given its valuation. What do these numbers do for you.I mean, there's continued strength, but not as much strength as some of the bulls were hoping for. >> Yeah, I I would generally agree with that take. You know, I think that the numbers were solid.Uh the the backlog, you know, coming in at 55 billion, um up from 30 billion at the end of the second quarter. uh remember ...

Company Positioning & Strategy - DDN is positioned at the forefront of AI development, having laid the groundwork in high-performance computing before AI became mainstream [1] - DDN defines a new category of "data intelligence" to accelerate, simplify, and reduce the cost of the end-to-end AI workflow [3] - DDN aims to bring AI to where the data lives, from the edge to the cloud, at a global scale, establishing the foundation for AI factories [3] Technology & Infrastructure - DDN's Infinia is engineered for high efficiency, supercharging high-density systems that scale infinitely [3] - DDN provides infrastructure that turns data into intelligence, going beyond simple data access, storage, and movement [2] - DDN's solutions are designed to ingest and utilize large datasets, addressing a critical need for smarter AI [5] Partnerships & Recognition - DDN has a long-standing partnership with NVIDIA, originating in high-performance computing [1] - DDN has collaborated with Shum for over 20 years [2] - DDN's solutions are certified by NVIDIA and trusted by innovators [5] Market Opportunity - There is a significant opportunity to increase efficiency and provide value at scale through AI [4] - Sovereign AI systems are reshaping science, industry, and national strategy [4]

Core Viewpoint - The article discusses the strategic approach of a technology company, Shi Shi Technology, led by a young founder, Yan Bowen, who has chosen not to hoard computing power despite the industry's trend towards it. Instead, the company focuses on optimizing computing resources and providing tailored services to meet the growing demand for AI computing [1][4][5][16]. Group 1: Company Background and Strategy - Shi Shi Technology was founded in 2021 by Yan Bowen, a PhD from Tsinghua University, and has a team with a strong background in high-performance computing [6][11]. - The company has won the Gordon Bell Prize three times, highlighting its expertise in parallel optimization and high-performance computing [12][11]. - The core business of Shi Shi Technology includes Infrastructure as a Service (IaaS) and expert model services, focusing on parallel computing and optimizing the deployment of algorithms on hardware [20][22]. Group 2: Market Context and Demand - The demand for pre-trained models has surged in 2023, leading to a competitive landscape in AI computing, referred to as the "model war" [2][15]. - The company has established partnerships with major players like Baidu and leading firms in video generation, indicating its strong market position [5][27]. - Shi Shi Technology's revenue from AI computing has surpassed 50%, with a notable increase in large orders, while scientific computing remains a significant part of its business [30][31]. Group 3: Operational Insights - The company manages over 10 intelligent computing centers and two national supercomputing centers, with a total computing power exceeding 10,000 PFlops [24]. - Shi Shi Technology emphasizes the importance of optimizing computing efficiency and reducing costs, which is critical in the rapidly evolving AI landscape [25][30]. - The company has developed a unified computing platform, HAI, which supports various CPU and GPU models and integrates training and inference capabilities [29]. Group 4: Future Outlook and Challenges - The founder believes that the computing industry will evolve from general-purpose computing to scenario-specific computing, which will enhance resource utilization [50]. - Shi Shi Technology aims to balance efficiency, replicability, and rapid customization in its offerings, addressing the industry's challenges [51]. - The company is preparing for a new round of financing and the release of standardized products, indicating its readiness for future growth [53].

Company Overview & HPC Leadership - Evident, a spin-off of ATOS, specializes in high-performance computing (HPC) solutions, including mainframes, processors, and high-speed networks [2] - The company positions itself as the largest HPC provider in Europe and a significant provider in Latin America and India [2][3] - Evident is a partner with DDN, utilizing DDN as its back end for most of its delivered systems [2] HPC & AI Integration - Evident is bringing HPC to AI, exemplified by a cluster of approximately 40 DGX units implemented in Ecuador for computer vision, processing 5 gigabytes per second of video stream from over 18,000 cameras [4][5] - The Ecuador system utilizes a 31 petabyte Luster file system and a 21 petabyte system based on S400 and X2, chosen for its fast failover and recovery capabilities [6] Storage Challenges & Solutions - The presentation highlights challenges related to storage, including inefficient small file storage (7KB) leading to performance issues [7][8] - Another challenge involved seismic image processing requiring 900 gigabytes of data reads and writes, which was addressed using local caching [9][10] Large Language Models (LLMs) & System Failures - Meta's model training, involving an 800 gigabyte model and a cluster of 25,000 GPUs (using only 16 initially), faced frequent failures (419 failures in 45 days, approximately one failure every 3 hours) [11][12] - Checkpointing is deemed a necessity due to the high failure rate of components (GPUs, interconnects, power supplies, software bugs) in large-scale systems [13][14] Scalable & Efficient HPC Systems - Evident is building its first exascale system based on its technology, aiming for high efficiency, with one model ranking number one and another in position six on the Green500 list [15] - The company is delivering approximately five exascale systems in Brazil, utilizing DDN storage solutions focused on IOPS, bandwidth, and space [16][17] Key Takeaways for Large Workloads - Large workloads like LLMs require large systems, which are prone to component failures [17][18] - Mitigating failures requires a robust design in network and storage, compatible with the number of GPUs, and the use of checkpointing [18][19]

Financial Data and Key Metrics Changes - For the year ending December 31, 2024, the company mined approximately 3.34 Bitcoin and generated mining revenues of approximately $20.5 million, compared to 7.40 Bitcoin and revenues of approximately $21.1 million for the year ending December 31, 2023 [16] - Breakeven costs per Bitcoin for 2024 were $47,359, significantly higher than $18,192 for 2023, reflecting the halving event and a 66% increase in global hash rate [16][17] - Adjusted EBITDA for 2024 was approximately negative $5.5 million, a decline from $94,000 in 2023, impacted by $6 million in one-time legal and marketing fees [17][18] - The company recognized a net income of approximately $401,000 for Q4 2024, compared to a net loss of approximately $10.9 million for Q4 2023 [19][21] Business Line Data and Key Metrics Changes - The company mined 334 Bitcoin in 2024, a decrease from the previous year, indicating challenges in the mining segment [6] - The focus has shifted from Bitcoin mining as a primary revenue source to developing power assets for high-performance computing (HPC) and AI data centers [10][11] Market Data and Key Metrics Changes - The company noted a significant increase in global power demand driven by AI, estimating a 50% to 70% increase in power consumption in North America over the next five years [8] - The company aims to position itself as a leader in sustainable computing infrastructure, capitalizing on the growing demand for HPC and AI computing [29] Company Strategy and Development Direction - The company is transitioning from Bitcoin mining to developing energy assets, particularly natural gas, to support HPC and AI data centers [11][26] - The acquisition of Captus is a strategic move to become a major player in the HPC and AI computing infrastructure market, with potential power capacity of up to 4 gigawatts [14][27] - The management team has been strengthened, and a debt restructuring has improved the company's financial position [12][24] Management's Comments on Operating Environment and Future Outlook - Management acknowledged the competitive nature of Bitcoin mining and the need to control energy costs to remain profitable [7] - The company is optimistic about the future, focusing on executing its strategic shift and maximizing shareholder value [30][31] Other Important Information - The company completed a debt restructuring with Anchorage Digital, converting $19.6 million of debt to equity, which has improved cash flow and reduced liabilities [22][24] - The management team and board members have personally invested in the company's equity raise, indicating strong confidence in the company's direction [14] Q&A Session Summary Question: Status of Ericsson in BC - The company terminated the original agreement to acquire 500 wells in British Columbia but is still interested in acquiring a subset of those assets with significant production and manageable liabilities [35][36] Question: Details on Captus and latency - The Captus site is approximately one hour outside Calgary and has excellent latency due to proximity to fiber connections [41] Question: Development and capital relationships - The company plans to secure the asset first, then develop the initial 136 megawatts while engaging potential customers and capital partners [52][51] Question: Competitiveness of Captus acquisition - There was significant interest in Captus, and the management team believes their commitment to the project helped secure the asset [56]