Core Viewpoint - The company focuses on national cybersecurity, emphasizing compliance protection and practical confrontation, while integrating AI technology to enhance its capabilities in data security and confidentiality [5][11]. Company Overview - The company aims to ensure national cybersecurity through compliance protection and practical confrontation, developing nine core capabilities in data security and confidentiality [5]. - The main business areas include host and network security, data security, security supervision platforms, inspection and detection, and password applications [7]. Business Development - The company experienced a decline in revenue due to market conditions, with a main business income of approximately 784.26 million yuan, a year-on-year decrease of 14.43% [10]. - The net profit attributable to shareholders was a loss of approximately 125.16 million yuan, but this represented a reduction in losses by 32.82% year-on-year [13]. - The company is focusing on key industries and promoting product trials and market expansion, with expectations for core products to enter a phase of large-scale procurement [11]. Financial Performance - The company has improved its revenue quality, with gross margins for products and integrated projects increasing [11]. - The company has implemented cost control measures, resulting in a year-on-year decrease in operating expenses by 8.60% [13]. Market Position - Established in 2002, the company is a leading provider of cybersecurity and data security products in China, participating in the formulation of national and industry standards [21]. - The company has received multiple awards and recognitions for its contributions to cybersecurity, including being named among the top 50 in various industry rankings [23][29]. Industry Trends - The implementation of national laws and regulations is driving the rapid development of the cybersecurity industry, with significant market potential expected [35]. - The growth of the domestic innovation industry is creating substantial demand for cybersecurity products based on domestic platforms [36]. - Data security is becoming a core focus within the cybersecurity landscape, with increasing emphasis on protecting sensitive information [37].

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The report emphasizes the integration of digital technology with traditional industries, focusing on the application of large models in various sectors, particularly in smart connected vehicles and intelligent manufacturing equipment [10][13] - It highlights the importance of safety as a prerequisite for new technologies, advocating for a self-controllable AI ecosystem [14][16] - The report outlines the trends of AI model capability enhancement, the deployment of 5G-A and 6G as foundational technologies for large-scale AI applications, and the fusion of AI with traditional industries to drive efficiency and cost reduction [25][31][37] Summary by Sections Government Work Report - The 2025 government work report emphasizes the need to boost domestic demand, integrate digital technology with traditional industries, and promote the empowerment of large models [10] - It outlines key tasks such as fostering emerging industries, enhancing traditional industry upgrades, and stimulating digital economy innovation [12][18] Industry Trends - Trend 1: The enhancement of model capabilities is shifting the industry focus towards applications and edge computing [25][30] - Trend 2: The commercialization of 5G-A and 6G will provide the necessary communication infrastructure for large-scale AI applications [31][34] - Trend 3: The integration of AI with traditional industries is expected to lead to significant cost savings and efficiency improvements [37][47] - Trend 4: The improvement of domestic model capabilities and data security will promote the prosperity of edge hardware [60][63] AI Applications - The report discusses specific applications of AI in sectors such as healthcare, agriculture, and manufacturing, showcasing successful case studies that demonstrate efficiency gains and cost reductions [40][41][51][56] - It highlights the role of AI in enhancing product quality and accelerating innovation in manufacturing, with projections indicating substantial growth in the sector due to AI adoption [54][58]

Core Insights - DeepSeek's five core technologies (FlashMLA, DeepEP, DeepGEMM, DualPipe & EPLB, 3FS file system) were showcased during a five-day "Open Source Week," achieving significant global attention [1] - JD Cloud announced full-stack adaptation of these technologies, resulting in a 50% performance improvement in inference scenarios [1][2] Group 1: Technology Enhancements - Flash MLA optimizes GPU memory and computational resources, addressing resource wastage in traditional methods for processing variable-length sequences [1] - The vGPU AI computing platform supports Flash MLA's FP8 format, reducing single Token's KV Cache memory usage by 57 times compared to Multi-head Attention, ensuring high throughput and low latency under high concurrency [1] Group 2: Communication and Performance - JD Cloud's vGPU AI computing platform fully supports distributed inference using the DeepEP communication library, significantly enhancing inference throughput [2] - By integrating DeepEP, JD Cloud utilizes NVLink for intra-machine communication and NVSHMEM for inter-machine communication, improving GPU resource utilization and reducing performance bottlenecks [2] Group 3: Local Deployment and Adaptation - JD Cloud has assisted multiple local governments in deploying DeepSeek based on existing infrastructure, allowing local enterprises to access the service without resource investment [3] - The platform has achieved comprehensive domestic chip adaptation, ensuring self-control from foundational computing to large model applications, including over ten domestic AI computing solutions [2]

Financial Data and Key Metrics Changes - Total ARR growth accelerated to 24% year-over-year, and was 25% when adjusted for foreign exchange [31] - Net new ARR growth was 30% year-over-year, just shy of the record 31% growth delivered in Q3 [31] - Q4 total revenues were $89.2 million, representing year-over-year growth of 20% [35] - SaaS revenue for Q4 was $64.8 million, growing 43% year-over-year and representing 73% of total Q4 revenues [36] - Non-GAAP operating margin for Q4 was 16.2%, a meaningful improvement from a year ago [34][44] Business Line Data and Key Metrics Changes - SaaS revenues grew 43% year-over-year, while term license and support declined to $9.4 million, representing 11% of Q4 revenues [36] - Maintenance revenue, tied to legacy perpetual licenses, also declined year-over-year and represented 3% of total Q4 revenues [37] - Services revenue was $12.2 million, representing 14% of total Q4 revenues [37] Market Data and Key Metrics Changes - In North America, SaaS revenues grew 46% year-over-year, representing 77% of total North America revenues [38] - In EMEA, SaaS revenues grew 37% year-over-year, representing 86% of total EMEA revenues [38] - In APAC, SaaS revenues grew 50% year-over-year, representing 52% of total APAC revenues [38] Company Strategy and Development Direction - The company aims to become the world's leading data management software company, focusing on durable, profitable growth at scale [8][9] - The "Beyond Secure" philosophy addresses traditional data management inadequacies, promoting a holistic approach to data security, governance, and resilience [27][28] - The strategic acquisition of Ydentic aims to enhance automation and IT management capabilities for Microsoft Managed Services Providers [28] Management's Comments on Operating Environment and Future Outlook - Management highlighted the growing demand for data management solutions amid digital transformations and the need for data modernization [10][15] - The company is optimistic about the future, with expectations of continued strong performance and market opportunities [30][54] - Management acknowledged the competitive landscape but expressed confidence in their platform's differentiation and ability to capture market share [78] Other Important Information - The company ended Q4 with $290.9 million in cash and short-term investments, with cash generated from operations reaching $88.9 million for the year [46] - Full-year 2024 results showed total revenues of $330.5 million, representing growth of 22% [48] - The company repurchased approximately 3.3 million shares for a total cost of $33.1 million during the year [50] Q&A Session Summary Question: What is the U.S. Federal exposure and outlook? - The company's federal business exposure is around 2% of total ARR, with ongoing discussions about digital transformation and AI readiness with agencies [58][59] Question: What is causing the gap between ARR growth and revenue growth in 2025? - The gap is influenced by foreign exchange impacts and a shift in revenue mix, particularly the decline of term license revenue [60][93] Question: How have price increases impacted ARR and NRR in 2024? - Price increases across multiple products had a small impact on overall NRR growth, which is primarily driven by customers consuming more of the platform [68] Question: How significant is the expansion into Google environments? - The expansion into Google includes risk intelligence and lifecycle management, enhancing the company's position as a strategic partner for multi-cloud customers [72] Question: How is the competitive environment evolving in data security posture management? - The competitive landscape remains strong, but the company is confident in its platform approach and ability to expand into mid-market segments [78] Question: What are the integration goals with the Ydentic acquisition? - The acquisition aims to enhance managed services offerings and expand into SMB and medium-sized customers efficiently [82][85] Question: What is the outlook for cash flow and operating income margins in 2025? - The company expects improvement in cash flow but acknowledges that margin expansion may flatten as investments are made for long-term growth [138]

能做的都做了，后续发展不再是一家公司所能决定的了。 TikTok 美国的停摆已经有充分的预兆，最早可以追溯到十多年前。 2012 年底，另一次美国总统大选，美国国会众议院情报委员会召开听证会，研究华为在美国做通信设备生 意是否危害国家安全。 华为积极应对。任正非亲自带领高管分别在深圳、香港接待了前美国总统卡特和一众美国议员。它的美国 公司花了上百万美元聘请律师游说，一位高级副总裁前往国会作证。结果虽然没有明确证据，但众议院情 报委员会依然裁定，华为对美国网络设施构成安全威胁。 听证会上，一位议员讲出了冲突的根本：只要有威胁的可能，国会就得做出反应，"不能像 9/11 那样，等 威胁成真再反应。" 文丨高洪浩 孙海宁 制图丨 黄帧昕 编辑丨黄俊杰 "抱歉，TikTok 现在无法使用。" 美国东部时间 1 月 19 日凌晨，当美国用户再打开 TikTok 时，只能看到 这一条消息，画面再也不能永远滑不到底了。 美国国会要求 TikTok"不卖就禁" 的法案如期生效。该法案涵盖所有字节、TikTok 运营的产品。同一时 间，Lemon8（图文社区）、CapCut（海外剪辑）、Lark（海外办公），甚至是沐瞳的游戏都 ...

TikTok 上诉，请求法院审查法案的合宪性。 翻译、校对丨实习生徐煜萌 编辑丨龚方毅 今年 4 月 24 日，拜登签署 TikTok "不卖就禁" 的法案，270 天的倒计时正式启动。 中国外交部对此表示，法案的通过让美国站在了公平竞争原则和国际经贸规则的对立面。 两周后，TikTok 和字节跳动向美国哥伦比亚特区联邦巡回上诉法院提交诉状 —— 这场四年前就开 始的对决也进入了新的一轮。 在诉状里，TikTok 和字节跳动详细回溯事件、质疑禁令的合宪性并给出论证，要求美国法院裁定 美国国会通过的法案违宪、阻止美国司法部实施该禁令。而这很可能只是漫长法庭冲突的第一 步。 我们全文翻译了该法律文书，并在不改变原意的前提下适当编辑，以尽可能完整呈现 TikTok 和字 节跳动的论述。 严格来说，这封法律文书是 "请愿书"，因为其核心诉求是请求法院判定《法案》违宪进而解除禁 令。这不同于此前《华为诉美国政府》一案，当时华为是发起诉讼，明确要求赔偿。我们在翻译 时保留了原法律文书 "请愿书""请愿人" 等法律名词。 以下是 TikTok 和字节跳动请愿书的全文翻译。 美国哥伦比亚特区联邦巡回上诉法院 请愿人 TikT ...