TENCENT

Prezzo TENCENT 00700.HK

TENCENT
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*Data last updated: 2026-04-28 20:37 (UTC+8)

As of 2026-04-28 20:37, TENCENT 00700.HK (TENCENT) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of 0,00%. Today, the stock price fluctuated between $0 and $0. The current price is 0,00% above the day's low and 0,00% below the day's high, with a trading volume of --. Over the past 52 weeks, TENCENT has traded between $0 to $0, and the current price is 0,00% away from the 52-week high.

TENCENT Key Stats

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TENCENT 00700.HK (TENCENT) Latest News

2026-04-28 05:05

Tencent Cloud Upgrades Enterprise-Grade Agent Capabilities, Launches Multiple AI Products

Gate News message, April 28 — Tencent Cloud announced a comprehensive upgrade of its full-stack enterprise-grade Agent product capabilities at the 2026 Tencent Cloud City Summit in Chongqing on April 28. The company unveiled several new products, including ClawPro private cloud edition, ADP intelligent workstation, Agent Memory, and Agent Storage. These new offerings expand Tencent Cloud's AI product suite designed for enterprise applications and workflow automation.

2026-04-23 08:52

Tencent Releases and Open-Sources Hunyuan Hy3 Preview with 295B Parameters

Gate News message, April 23 — Tencent unveiled and open-sourced Hunyuan Hy3 preview, a hybrid mixture-of-experts language model featuring fast and slow thinking fusion. The model comprises 295 billion total parameters with 21 billion active parameters, supporting a maximum context length of 256K tokens. Hy3 preview is the first model trained after Hunyuan's restructuring and Tencent's most intelligent model to date. The company reports significant improvements in complex reasoning, instruction following, in-context learning, code generation, agentic capabilities, and inference performance. Chief AI Scientist Yao Shunyu stated that Hy3 preview marks the first step of Hunyuan's reconstruction and expressed hope that open-source community feedback will enhance the formal version's practical utility. Tencent is simultaneously scaling pretraining and reinforcement learning to elevate the model's intelligence ceiling and collaborating with multiple Tencent products through deep co-design to improve real-world performance. The company is also beginning to explore specialized model capabilities.

2026-04-23 00:31

Tencent Cloud Warns of Supply Chain Poisoning Vulnerability in Xinference Project

Gate News message, April 23 — Tencent Cloud Security Center disclosed a supply chain poisoning vulnerability in Xinference. The flaw could allow attackers to steal sensitive information—including cloud credentials, API keys, SSH keys, encrypted wallets, database credentials, and environment variables—when users install or import affected package versions. Stolen data would be transmitted to remote command and control (C2) servers. Tencent Cloud Security recommends users conduct immediate security audits and apply updates if their systems fall within the affected range to prevent unauthorized access.

2026-04-22 20:02

DeepSeek's Valuation Surges Past $20 Billion as Tencent and Alibaba Weigh Investments

Gate News message, April 22 — DeepSeek, the Chinese AI startup owned by hedge fund High-Flyer Capital Management, is now seeking a valuation above $20 billion as Tencent Holdings and Alibaba Group discuss potential investments. The Information reported Wednesday that the asking price has climbed rapidly from at least $10 billion just days earlier (Friday, April 18). The startup is still in talks with investors, and both the valuation and fundraising amount could change. Nvidia CEO Jensen Huang said Wednesday on the Dwarkesh Podcast that it would be "a horrible outcome" for the United States if DeepSeek optimizes its AI models to run on Huawei chips instead of American hardware. Currently, U.S. chips are about five times more powerful than Chinese rivals, with the gap expected to widen to 17 times by 2027. Huawei's Ascend 910C delivers approximately 60% of the inference performance of Nvidia's H100, which is already two generations behind Nvidia's current flagship. Huang noted that China possesses "abundant energy" and a "large pool of AI researchers," presenting a potential catch-up path in AI development. Meanwhile, AI funding continues to surge globally. Vast Data announced a $1 billion funding round at a $30 billion valuation on Wednesday, with Nvidia among the backers. The financing, led by Drive Capital and Access Industries, more than tripled Vast's $9.1 billion valuation from 2023. According to Dealroom, AI companies worldwide have already raised $280.5 billion this year, with over $170 billion directed to OpenAI, Anthropic, and xAI.

2026-04-22 11:23

Tencent and Alibaba Negotiate Investment in DeepSeek, Valuation Exceeds $200 Billion

Gate News message, April 22 — Tencent and Alibaba are in negotiations to invest in DeepSeek, according to The Information. DeepSeek's valuation exceeds $200 billion.

Hot Posts su TENCENT 00700.HK (TENCENT)

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* * * **Discover top fintech news and events!** **Subscribe to FinTech Weekly's newsletter** **Read by executives at JP Morgan, Coinbase, Blackrock, Klarna and more** * * * **China’s DeepSeek Challenges Silicon Valley’s AI Dominance** ------------------------------------------------------------- DeepSeek, a Chinese AI startup, has sent shockwaves through the global technology sector. **Its cost-efficient, open-source large language model (LLM) is redefining competition in artificial intelligence**, threatening the grip of U.S. firms that have long dominated the field. As China embraces open-source collaboration, U.S. tech giants like Google, Meta, and OpenAI are reassessing their strategies. **DeepSeek’s success highlights the growing divide between the U.S. proprietary approach and China’s state-backed, openly shared AI development**. **The Rise of DeepSeek: A Technological Disruptor** --------------------------------------------------- DeepSeek emerged as a game-changer by optimizing computational efficiency. Unlike traditional models that demand expensive computing hardware, **DeepSeek reduces resource dependency**, making advanced AI more accessible. This efficiency-driven approach allows companies to deploy AI at lower costs, challenging the conventional belief that raw computing power is the key to AI breakthroughs. Silicon Valley has long relied on high-performance computing (HPC) infrastructure powered by Nvidia chips. However, DeepSeek's ability to produce high-quality AI models without requiring the same level of hardware investment is reshaping the industry’s competitive dynamics. **Chinese tech firms, including Huawei and Alibaba, are quickly integrating DeepSeek into their ecosystems**, further accelerating its adoption. **China’s Open-Source AI Strategy: A Long-Term Play** ----------------------------------------------------- Unlike the U.S., where AI development is often proprietary, China has built a thriving AI ecosystem by prioritizing open-source collaboration. **This strategy enables rapid innovation, leveraging contributions from academia, government-backed institutions, and private companies**. Over the past decade, China has significantly expanded its open-source initiatives, recognizing their potential to scale AI capabilities. **State support has played a crucial role**, ensuring resources flow into AI research and development. The National AI Open Innovation Platform, spearheaded by the Chinese government, fosters collaboration by providing shared access to AI datasets and computational tools. DeepSeek exemplifies this strategy. **While the company is privately owned, its growth has benefited from China’s AI infrastructure, which blends state guidance with private-sector innovation**. This model allows China to accelerate AI development while reducing reliance on Western technology. **U.S. Tech Giants Respond: A Race to Adapt** --------------------------------------------- The unexpected rise of DeepSeek has forced U.S. technology firms to reassess their AI strategies. While companies like Meta and OpenAI have previously promoted open-source models, they continue to restrict key AI capabilities behind paywalls or controlled licenses. DeepSeek’s success demonstrates the power of a fully open ecosystem, raising questions about whether U.S. firms should embrace a more accessible approach. **Microsoft CEO Satya Nadella acknowledged DeepSeek’s efficiency and urged the industry to take its advancements seriously**. Some venture capitalists and AI researchers view DeepSeek’s rise as a validation of open-source AI, rather than simply a win for China. However, concerns remain about security risks, data control, and the broader implications of an **AI model developed under China’s regulatory framework**. **Geopolitical Implications: AI as a Battleground for Influence** ----------------------------------------------------------------- The DeepSeek phenomenon extends beyond technological competition—**it has become a geopolitical issue**. AI is now at the center of economic and national security strategies for global superpowers. The U.S. government has implemented restrictions on exporting advanced AI chips to China, hoping to slow its progress. However, **DeepSeek’s success indicates that limiting hardware access may not be enough to curb China’s AI ambitions**. Knowledge, research, and collaborative development cannot be easily contained by trade restrictions. **Policymakers in Washington are now grappling with how to maintain U.S. leadership in AI.** The Biden administration, following in the footsteps of Trump’s policies, has ramped up investments in AI research, pushing for stronger ties between government and private industry. The challenge remains: how to balance innovation with security while keeping the U.S. AI sector competitive. **China’s AI Growth: A Challenge to the Status Quo** ---------------------------------------------------- **DeepSeek’s rise underscores the broader transformation within China’s AI industry**. The country has become a major force in AI development, with companies like Baidu, Tencent, and Alibaba leading the charge. **By prioritizing open-source innovation, China has positioned itself as a global AI powerhouse**, capable of competing directly with Silicon Valley. While concerns about government oversight persist, China’s AI model is proving effective. Open-source frameworks, such as Baidu’s Apollo (for autonomous driving) and Alibaba’s Qwen-72B, have already influenced AI development worldwide. U.S. firms, despite initial reluctance, have tapped into China’s AI contributions, creating a complex relationship of competition and collaboration. **The Future of AI Leadership: Who Will Prevail?** -------------------------------------------------- DeepSeek’s rapid ascent signals a shift in AI leadership. While U.S. tech giants have dominated AI for years, **China’s approach is proving increasingly competitive**. The efficiency-driven model championed by DeepSeek challenges the traditional AI power hierarchy, forcing Western firms to reconsider their reliance on expensive computing resources. As AI becomes a key driver of economic and political influence, the stakes have never been higher. Silicon Valley must decide whether to double down on proprietary models or embrace a more open, collaborative future. Meanwhile, China’s AI expansion continues at full speed, reshaping the industry in ways that could redefine global technological leadership for years to come. **Conclusion** -------------- DeepSeek is more than just another AI company—it represents a paradigm shift in how artificial intelligence is developed and deployed. By leveraging open-source collaboration, reducing hardware dependency, and fostering a supportive ecosystem, China has introduced a new competitive force in the AI industry. As U.S. firms scramble to respond, the world watches to see whether the future of AI will be defined by Silicon Valley’s legacy or China’s rising influence.
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