In recent years, with the development of artificial intelligence (AI), the Neural Processing Unit (NPU) has gradually become a focal point as an emerging computing chip technology. Compared to traditional Central Processing Units (CPUs) and Graphics Processing Units (GPUs), NPUs offer significant advantages in efficiency and low power consumption, providing new possibilities for AI application … Read more
👆If you would like to meet regularly, feel free to star 🌟 and bookmark it~Source: ContentTranslated fromsemiwiki.. In an era where the scale, complexity, and diversity of artificial intelligence workloads are continuously increasing, chip manufacturers face mounting pressure to provide solutions that are not only fast but also flexible and programmable. Semidynamics recently announced the … Read more
In today’s rapidly advancing technology landscape, the wave of industrial intelligence is surging. The IDO – SOM2708 – S1 core board (based on Allwinner T527) launched by Touch Intelligence shines like a brilliant new star, bringing new solutions to the industrial sector.8-core A55+2 Tops computing powerNPU+supports open-source HarmonyOS+industrial gradeCore board: 8-core + 2 Tops + … Read more
On November 14, Beijing time, Samsung officially launched its next-generation flagship mobile platform, the Exynos 9820. As the name suggests, it is an iterative version of the previous Exynos 9810, and it is expected that some versions of next year’s Galaxy S10 and Note10 will be equipped with this chip. How powerful is the Samsung … Read more
1. Core Logic Overview Industry Trend: AI PCs are currently in a rapid penetration phase (currently <5%), with NPU computing power upgrading to 40TOPS+ becoming a key driving force, replacing traditional CPU/GPU solutions. Technical Barriers: NPU design capabilities (sparse computing/low-power architecture) and advanced processes (below 7nm) constitute core competitiveness. Market Space: It is expected that … Read more
Click the blue text Follow us NEWS TODAY Huawei’s Ascend NPU cluster has broken through the training barrier for large models with nearly a trillion parameters, achieving stable training of a 718B parameter MoE model with over 6000 chips, increasing computing power utilization by 58.7%! Purely domestic hardware has smoothly overcome four major technical challenges … Read more
Jin Lei from AofeisiQuantum Bit | WeChat Official Account QbitAI Now, training a trillion-parameter large model can completely say goodbye to NVIDIA. The one achieving this is Huawei! Technical report: arxiv.org/abs/2505.04519 It is important to note that before this, training a trillion-parameter large model faced many “roadblocks”. For example, challenges such as load balancing difficulties, … Read more
The spring of 2025 is particularly special. With humanoid robots and DeepSeek making a strong impression, AI has become the most promising field. Everything can be AI, and everything is seeking to utilize AI or have an ‘aha moment’ where AI becomes mainstream.Helping machines think better and bringing more AI to the edge is one … Read more
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【Abstract】On April 23, Chipone Technology unveiled its next-generation 4nm AI cockpit chip X10 at the Shanghai Auto Show, accelerating the smart cockpit revolution through ecosystem building and hardware breakthroughs. The chip integrates40 TOPS NPU computing power and 154 GB/s ultra-large memory bandwidth, supporting the deployment of 7B multimodal large models on the edge, addressing response … Read more