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Kingsoft Cloud announced that its StarStream training and inference platform has fully integrated with Zhipu's GLM series inference models, becoming one of the first platforms to integrate this series. This move marks Kingsoft Cloud's further expansion in the AI field, providing users with more efficient, intelligent, and cost-effective model services.

With advancements in AI technology, OpenAI recently launched its latest inference models—o3 and o4-mini. These new models are not only more powerful in text understanding but also possess image reasoning capabilities, quickly becoming user favorites. According to TechCrunch, more users are leveraging ChatGPT to pinpoint the exact location where photos were taken, a phenomenon sparking widespread attention on social media. The o3 and o4-mini models offer powerful...

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...

At the 2025 China Mobile Cloud Intelligence Computing Conference, Yang Jie, Chairman of China Mobile Communications Corporation, revealed that by 2030, artificial intelligence (AI) tasks are projected to account for 60% of total network traffic. This indicates an increasing reliance on AI technologies in future networks, demanding more advanced compute network infrastructure. Yang Jie pointed out that the "rebound effect" of computing power is gradually emerging, with inference computing power expected to grow four times faster than training computing power by 2030. This shift will drive new demands for computing power services.

IBM on Monday launched its latest mainframe hardware, the IBM z17. This fully encrypted mainframe, powered by the IBM Telum II processor, is designed for over 250 AI use cases, including AI agents and generative AI applications. While mainframes may be considered legacy technology by some, 71% of Fortune 500 companies still use them, according to sources. According to market research firm Market Research Future, by 2024...

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...

On April 7th, Kimi Open Platform officially announced price adjustments for its model inference services, significantly lowering context cache prices as well. This is based on a year's worth of technological advancements and performance optimizations by Moonshot AI. This move signifies Kimi Open Platform's commitment to enhancing user experience and promoting the widespread adoption of AI services while improving its technical capabilities. According to Kimi Open Platform, these price reductions are a result of Moonshot AI's progress in model training and inference optimization over the past year.

Researchers from DeepSeek and Tsinghua University recently published a new paper exploring scaling methods for reward model inference, seemingly advancing DeepSeek R2. Reinforcement learning is widely used in the large-scale post-training phase of large language models, but faces the challenge of obtaining accurate reward signals for these models. The researchers found that using pointwise generative reward modeling (GRM) improves model adaptability and scalability during inference. To this end, they propose Self-Principle Calibration Tuning (SPCT) learning.

The Arc Prize Foundation, responsible for maintaining and managing the competition, last week revised its cost estimate for OpenAI's upcoming o3 inference AI model with a staggering adjustment—from an initial estimate of $3,000 per ARC-AGI task to $30,000. This price correction reveals that the operational costs of today's most complex AI models may be ten times higher than previously anticipated. While OpenAI has yet to announce an official pricing strategy for o3, or even officially release the model, the Arc Prize...

Following the release of the official Tencent HunYuan T1 last week, many users have been eager to know when this new version would be available on Yuanbao. In the latest news, Tencent officially announced that the official version of HunYuan T1 and the latest version of DeepSeek V3 are now available, bringing users a brand-new experience. HunYuan T1 is Tencent's self-developed deep thinking model, and compared to the previous T1 Preview version, it has undergone comprehensive upgrades. The new version not only improves speed and performance but also significantly enhances overall effectiveness, achieving second-level response times, and...

Former Intel CEO Pat Gelsinger recently criticized Nvidia's pricing strategy for its AI GPUs on the Acquired podcast during Nvidia's 2025 GPU Technology Conference, arguing that the high cost makes them unsuitable for large-scale AI inference tasks. Gelsinger highlighted that inference is crucial for deploying AI models and that the industry should focus more on inference, a domain where Nvidia's technology falls short in terms of cost-effectiveness. Image source omitted.

Reka AI, founded by a dozen former Google DeepMind scientists, has unveiled its first open-source model: Reka Flash 3. This 21-billion parameter inference model has garnered significant attention. Despite its relatively smaller parameter count, Reka Flash 3 is a general-purpose reasoning model trained from scratch. It underwent supervised fine-tuning on synthetic and public datasets and further refinement through model-based techniques.

OpenAI today announced the release of its latest high-performance inference model, O1-Pro. OpenAI states that the model offers significant improvements in performance and capabilities and is currently available to a select group of developers. O1-Pro is designed for developers building applications with 1-5 layers, supporting features like visual input, function calling, and structured outputs. It seamlessly integrates with OpenAI's response and batch processing APIs. However, this enhanced performance comes at a cost...