Latest news with #Tencent-backed
Forbes
14-04-2025
- Business
- Forbes
Creator Of Blockbuster Game ‘Goddess Of Victory: Nikke' Joins Ranks Of Korea's 50 Richest
Kim Hyung-tae (center), attends the company's listing ceremony at the Korea Exchange (KRX) in Seoul on July 11, 2024. This story is part of Forbes' coverage of Korea's Richest 2025. See the full list here. The $320 million IPO last July of online games developer Shift Up, Korea's second-largest listing of 2024, made its founder and chairman Kim Hyung-tae a billionaire. Though Tencent-backed Shift Up's shares have fallen more than a third since and Kim's net worth has shrunk to $725 million, that still earns him a debut spot in the ranks of the country's wealthiest. ss A former video game artist, Kim designed Blade & Soul, a top-selling game of fellow listee Kim Taek-jin's NCSoft, where he worked for eight years. He started Shift Up in 2013 and nine years later launched his own blockbuster title, Goddess of Victory: Nikke, a third-person shooter and role-playing game with anime-style graphics. Another global hit was Stellar Blade. Launched last year, it achieved the highest user score (9.2) for a Sony PlayStation 5 game on review aggregator Metacritic. In 2024, Shift Up's revenue rose by a third to 224 billion won ($152 million), while net income increased 39% to 148 billion won. Next up is a Chinese version of Goddess of Victory: Nikke, which has already garnered 5 million preregistrations.
Bloomberg
25-03-2025
- Business
- Bloomberg
Tencent-Backed Kuaishou Pledges AI Efforts as Sales Growth Slows
Kuaishou Technology said artificial intelligence is what will drive users to its video platform after posting its slowest quarterly sales growth since its 2021 listing. AI is the 'core engine that will drive our platform to create more value' for its commercial ecosystem while achieving traffic growth, the Tencent-backed internet company said in an exchange filing.
Ammon
13-02-2025
- Business
- Ammon
DeepSeek gives China's chipmakers leg up in race for cheaper AI
Ammon News - The rise of DeepSeek's artificial intelligence (AI) models is seen providing some Chinese chipmakers such as Huawei a better chance to compete in the domestic market against more powerful U.S. processors. Huawei and its Chinese peers have for years struggled to match Nvidia in building top-end chips that could compete with the U.S. firm's products for training models, a process where data is fed to algorithms to help them learn to make accurate decisions. However, DeepSeek's models, which focus on "inference," or when an AI model produces conclusions, optimise computational efficiency rather than relying solely on raw processing power. That is one reason why the model is expected to partly close the gap between what Chinese-made AI processors and their more powerful U.S. counterparts can do, analysts say. Huawei, and other Chinese AI chipmakers such as Hygon, Tencent-backed EnFlame, Tsingmicro and Moore Threads have in recent weeks issued statements claiming products will support DeepSeek models, although few details have been released. Huawei declined to comment. Moore Threads, Hygon EnFlame and Tsingmicro did not respond to Reuters queries seeking further comment. Industry executives are now predicting that DeepSeek's open-source nature and its low fees could boost adoption of AI and the development of real-life applications for the technology, helping Chinese firms overcome U.S. export curbs on their most powerful chips. Even before DeepSeek made headlines this year, products such as Huawei's Ascend 910B were seen by customers such as ByteDance as better suited for less computationally intensive "inference" tasks, the stage after training that involves trained AI models making predictions or performing tasks, such as through chatbots. From Elon Musk and Sam Altman butting heads to a gathering of big players in Paris, this is AI Weekly.
Emirates 24/7
13-02-2025
- Business
- Emirates 24/7
DeepSeek gives China's chipmakers leg up in race for cheaper AI
The rise of DeepSeek's artificial intelligence (AI) models is seen providing some Chinese chipmakers such as Huawei a better chance to compete in the domestic market against more powerful U.S. processors. Huawei and its Chinese peers have for years struggled to match Nvidia in building top-end chips that could compete with the U.S. firm's products for training models, a process where data is fed to algorithms to help them learn to make accurate decisions. However, DeepSeek's models, which focus on "inference," or when an AI model produces conclusions, optimise computational efficiency rather than relying solely on raw processing power. That is one reason why the model is expected to partly close the gap between what Chinese-made AI processors and their more powerful U.S. counterparts can do, analysts say. Huawei, and other Chinese AI chipmakers such as Hygon, Tencent-backed EnFlame, Tsingmicro and Moore Threads have in recent weeks issued statements claiming products will support DeepSeek models, although few details have been released. Huawei declined to comment. Moore Threads, Hygon EnFlame and Tsingmicro did not respond to Reuters queries seeking further comment. Industry executives are now predicting that DeepSeek's open-source nature and its low fees could boost adoption of AI and the development of real-life applications for the technology, helping Chinese firms overcome U.S. export curbs on their most powerful chips. Even before DeepSeek made headlines this year, products such as Huawei's Ascend 910B were seen by customers such as ByteDance as better suited for less computationally intensive "inference" tasks, the stage after training that involves trained AI models making predictions or performing tasks, such as through chatbots. In China, dozens of companies from automakers to telecoms providers have announced plans to integrate DeepSeek's models with their products and operations. "This development is very much aligned with the capability of Chinese AI chipset vendors," said Lian Jye Su, a chief analyst at tech research firm Omdia. "Chinese AI chipsets struggle to compete with Nvidia's GPU (graphics processing unit) in AI training, but AI inference workloads are much more forgiving and require a lot more local and industry-specific understanding," he said. NVIDIA STILL DOMINATES However, Bernstein analyst Lin Qingyuan said while Chinese AI chips were cost-competitive for inferencing, this was limited to the Chinese market as Nvidia chips were still better even for inference tasks. While U.S. export restrictions ban Nvidia's most advanced AI training chips from entering China, the company is still allowed to sell less powerful training chips that Chinese customers can use for inference tasks. Nvidia published a blog post on Thursday about how inference time was rising as a new scaling law and argued that its chips will be necessary to make DeepSeek and other "reasoning" models more useful. In addition to computing power, Nvidia's CUDA, a parallel computing platform that allows software developers to use Nvidia GPUs for general-purpose computing, not just AI or graphics, has become a crucial component of its dominance. Previously, many Chinese AI chip companies did not directly challenge Nvidia by asking users to abandon CUDA but instead, claimed their chips were compatible with CUDA. Huawei has been the most aggressive in its efforts to break away from Nvidia by offering a CUDA equivalent called Compute Architecture for Neural Networks (CANN), but experts said it faced obstacles in persuading developers to abandon CUDA. "Software performance of Chinese AI chip firms is also lacking at this stage. CUDA has a rich library and a diverse range of software capability, which requires significant long-term investment," said Omdia's Su. Follow Emirates 24|7 on Google News.
Zawya
13-02-2025
- Business
- Zawya
DeepSeek gives China's chipmakers leg up in race for cheaper AI
BEIJING: The rise of DeepSeek's artificial intelligence (AI) models is seen providing some Chinese chipmakers such as Huawei a better chance to compete in the domestic market against more powerful U.S. processors. Huawei and its Chinese peers have for years struggled to match Nvidia in building top-end chips that could compete with the U.S. firm's products for training models, a process where data is fed to algorithms to help them learn to make accurate decisions. However, DeepSeek's models, which focus on "inference," or when an AI model produces conclusions, optimise computational efficiency rather than relying solely on raw processing power. That is one reason why the model is expected to partly close the gap between what Chinese-made AI processors and their more powerful U.S. counterparts can do, analysts say. Huawei, and other Chinese AI chipmakers such as Hygon, Tencent-backed EnFlame, Tsingmicro and Moore Threads have in recent weeks issued statements claiming products will support DeepSeek models, although few details have been released. Huawei declined to comment. Moore Threads, Hygon EnFlame and Tsingmicro did not respond to Reuters queries seeking further comment. Industry executives are now predicting that DeepSeek's open-source nature and its low fees could boost adoption of AI and the development of real-life applications for the technology, helping Chinese firms overcome U.S. export curbs on their most powerful chips. Even before DeepSeek made headlines this year, products such as Huawei's Ascend 910B were seen by customers such as ByteDance as better suited for less computationally intensive "inference" tasks, the stage after training that involves trained AI models making predictions or performing tasks, such as through chatbots. In China, dozens of companies from automakers to telecoms providers have announced plans to integrate DeepSeek's models with their products and operations. "This development is very much aligned with the capability of Chinese AI chipset vendors," said Lian Jye Su, a chief analyst at tech research firm Omdia. "Chinese AI chipsets struggle to compete with Nvidia's GPU (graphics processing unit) in AI training, but AI inference workloads are much more forgiving and require a lot more local and industry-specific understanding," he said. NVIDIA STILL DOMINATES However, Bernstein analyst Lin Qingyuan said while Chinese AI chips were cost-competitive for inferencing, this was limited to the Chinese market as Nvidia chips were still better even for inference tasks. While U.S. export restrictions ban Nvidia's most advanced AI training chips from entering China, the company is still allowed to sell less powerful training chips that Chinese customers can use for inference tasks. Nvidia published a blog post on Thursday about how inference time was rising as a new scaling law and argued that its chips will be necessary to make DeepSeek and other "reasoning" models more useful. In addition to computing power, Nvidia's CUDA, a parallel computing platform that allows software developers to use Nvidia GPUs for general-purpose computing, not just AI or graphics, has become a crucial component of its dominance. Previously, many Chinese AI chip companies did not directly challenge Nvidia by asking users to abandon CUDA but instead, claimed their chips were compatible with CUDA. Huawei has been the most aggressive in its efforts to break away from Nvidia by offering a CUDA equivalent called Compute Architecture for Neural Networks (CANN), but experts said it faced obstacles in persuading developers to abandon CUDA. "Software performance of Chinese AI chip firms is also lacking at this stage. CUDA has a rich library and a diverse range of software capability, which requires significant long-term investment," said Omdia's Su. (Reporting by Liam Mo and Brenda Goh; Editing by Sam Holmes)
