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At the recently held 'Force Primordial Power Conference', ByteDance’s Volcano Engine officially launched the DouBao large model 1.6 and video generation model Seedance 1.0pro. This release marks another leap forward in AI technology, particularly in multi-modal understanding and video generation, demonstrating strong market competitiveness. DouBao 1.6 has performed excellently in multiple international authoritative evaluations, especially excelling in complex reasoning and competition-level mathematics tests. Tan Dai, President of Volcano Engine, stated that this model not only supports multi-

At the Volcano Force Original Power Conference held today, Tan Dai, president of Volcano Engine, disclosed a set of eye-catching data: By the end of May 2025, the daily average token calls of the BeanPod large model had reached 16.4 trillion, which is 137 times that at the time of launch. Tan Dai stated that since its release, the BeanPod large model has continued to iterate and optimize, being widely used in various scenarios such as content creation, intelligent customer service, data analysis, and others, becoming an important engine for enterprise intelligence transformation. According to the latest market data from IDC, Volcano Engine now holds *

MegaT AI Search has launched a brand new Ultra-fast model, marking a significant breakthrough in its artificial intelligence search technology. Through innovative technical means, the response speed of MegaT AI Search has reached an amazing 400 tokens/second, ensuring that most questions can be answered within 2 seconds. This advancement not only enhances user experience but also significantly improves information retrieval efficiency. The realization of the Ultra-fast model is thanks to the application of multiple advanced technologies. The MegaT AI team has optimized on GPUs using ker

Recently, MiTA AI Search officially launched the new ultra-fast model, bringing users a more efficient and accurate search experience. The MiTA AI Search team successfully achieved a maximum response speed of 400 tokens/second on a single H800 GPU through kernel fusion technology on GPUs and dynamic compilation optimization strategies on CPUs, with most responses provided within 2 seconds.

The Gemini API has launched an implicit caching feature, offering developers significant cost optimization experiences. This new functionality eliminates the need for developers to manually create caches; when requests share a common prefix with previous requests, the system automatically triggers cache hits, providing up to a 75% discount on tokens. This update now covers the Gemini2.5Pro and 2.5Flash models, further enhancing the cost-effectiveness of AI development. For more details, please refer to the official website: https://develo

Bytedance's Volcano Engine announced the full launch of its newly released Doubao 1.5 Deep Thinking model on the edge large model gateway, offering users up to 5 million free tokens. This move has garnered significant attention in the AI field.

In today's AI-driven world, AI has become an integral part of our daily conversations and problem-solving. However, what you might not know is the significant cost associated with these seemingly simple interactions. Sam Altman, CEO of OpenAI, revealed that the company spends tens of millions of dollars annually just to process user pleasantries and polite language. Simple expressions like "thank you" and "please," while enhancing the emotional connection, represent a substantial financial burden.

In a recent annual letter to shareholders, Amazon CEO Andy Jassy highlighted the company's significant investment in artificial intelligence (AI). He noted that while the development and deployment costs of AI remain high, future AI usage costs are expected to decrease significantly as technology advances. Image Note: Image generated by AI, image licensing provider Midjourney. Jassy revealed that Amazon plans to invest up to $100 billion in capital expenditures in 2025.

According to Artificial Analysis, a third-party AI testing agency, evaluating OpenAI's o1 inference model across seven popular benchmarks costs $2,767.05, while its non-inference model GPT-4o costs only $108.85. This significant disparity sparks discussion regarding the sustainability and transparency of AI evaluation. Inference models, AI systems capable of step-by-step reasoning to solve problems, while excelling in specific domains, incur significantly higher benchmarking costs than traditional models. Arti...

Amidst the growing prevalence of artificial intelligence, the collaboration between DeepSeek and Tsinghua University has garnered significant industry attention. DeepSeek, a Chinese startup, is renowned for its breakthroughs in low-cost inference models. This collaboration aims to further reduce the training costs of AI models, thereby enhancing operational efficiency. DeepSeek recently launched a new low-cost inference model that has generated considerable market excitement. To further optimize this model, DeepSeek's research team...

Baidu's deep learning platform, PaddlePaddle, recently announced the official release of its new generation framework, PaddlePaddle 3.0. This release introduces five core technological innovations, including "dynamic and static unified automatic parallelism," aiming to effectively reduce the development and training costs of large models and support the infrastructure construction of the large model era. As the core infrastructure supporting large model training and inference tasks, PaddlePaddle 3.0 demonstrates excellent performance optimization. The framework already supports multiple mainstream large models, including Wenxin 4.5 and Wenxin X1, and through optimization...