1. Yulong chip is an AI chip independently developed by China, which is currently at a relatively primary level. The chip was jointly developed by the Institute of Computing Technology of the Chinese Academy of Sciences and several enterprises, and uses a self-designed neural network accelerator, which can support a variety of neural network models such as convolutional neural networks, recurrent neural networks and attention mechanisms.
2, awesome. Yulong series is a new generation of embedded artificial intelligence series processor chips launched by Obit, which focuses on front-end image processing, front-end signal processing and intelligenceControl, with deep learning, neural network algorithm platform acceleration capabilities, as well as high performance, high reliability, low power characteristics, for aerospace, intelligent security, robotics, AIoT, intelligent manufacturing, intelligent transportation and other application scenarios.
3, only Jade Dragon 810. According to the relevant information, Yulong 810A chip has the functional characteristics of autonomous controllability, high break resistance, high intelligence, high reliability and low power consumption SoC chip. YULONG is a new generation of embedded artificial intelligence series processor chips launched by Obit, which is the only military-grade artificial intelligence on the market at presentCan chip, and achieve independent and controllable domestic production.
Alibaba launched the world's leading AI chip - Containing Light 800 - at the Cloud Conference on September 25, 2019. The AI cloud service with Light 800 was launched on the same day. The name of Han Guang 800 comes from "Lizi · Tang Wen", implying its powerful computing power. The Light 800 is a visual focusScene's cloud AI chip. On September 25, at the 2019 Cloud Conference, Alibaba launched the world's strongest AI chip - Containing Light 800. The AI cloud service based on the light 800 has been launched on the same day. The allusion to the light comes from "Lizi · Tang Wen", known by the domestic martial arts animation "The Legend of Qin", "light" is one of the three ancient divine swords, containing but not showing, light but not shining, implying the invisible but powerful computing power of the light chip.
Last week, Ali released containing light 800, the cloud AI chip in the global AI reasoning coreFamily, the main new architecture, new process brand, in response to AMD's fierce offensive in the personal computer field in recent years.
2, Intel's new generation of rocket Lake i9-11900K processor seems to be launching a performance impact to AMD, the leaked data reveals a surprising fact: single-core performance may break records, and multi-core strength can not be underestimated.
3, in the science and technology battlefield, Intel and AMD's processor battle is raging. However, the Silicon Valley giant knows that competition in the desktop processor market cannot be taken lightly. Today, we unveil Intel's 12th generation AldThe mystery of the er Lake-S processor, which marks an important step in Intel's technological innovation. The 12th generation Core processor, with its innovative design, represents a new strategy for Intel.
4, Intel's 11th generation desktop processor specifications revealed, i9 model unexpectedly shrunk recently, the industry exposed the detailed specifications of Intel's new generation of Rocket Lake-S processors, with core I9-11900K, i7-11700K and i5-11600K as the core, information sources are reliable, Including VideoCardz and WCCFA platform with a high degree of confirmation.
5, Intel launches a new generation of processors to accelerate the spread of AI to various industries at the "Make AI Everywhere" event in New York, Intel showed its strong new lineup, designed to use the Intel Core? Ultra and the fifth generation of Intel Xeon scalable processors drive AI technology deep into the data center, cloud, network, edge and PC, and open the era of AI for all.
The battle between Intel and Nvidia is very intense and interesting. The war between Intel and Nvidia began when Intel acquired Nervana Systems. Nervana Systems is a startup developing deep learning chips known as AI. If this acquisition can allow Intel to redefine the AI market, then the AI market war will look good again. Intel has a reason for its swagger.
When Intel knocks on the door of the AI smart chip market, it will not be able to take the trend at the same timeUnder Nvidia, all this depends on the next development.
The diversity of location, size, cost, power requirements, and rapid integration with other computing capabilities of the application deploy AI capabilities, placing a higher level of demand on AI computing. As a chip giant, Intel, on the one hand, explores quantum computing and neural mimicry computing, on the other hand, it is also exploring the form of super heterogeneous computing, and the future is the world of AI super chips, whether it is cloud or terminal.
Nvidia also faces strong competitive pressure from Huawei. Huawei has significant strength in the field of AI chips, its AsceThe nsion series AI chips are comparable to Nvidia's AI chips in some ways. Huawei's ability to develop a wide range of chips on its own puts it in competition with Nvidia, which specializes in graphics cards and artificial intelligence chips, in terms of comprehensiveness and technical prowess.
1, Intel released a new generation of AI chips, throughput than the A100 double, chip maker Intel released a new core focused on artificial intelligence computingChip Gaudi2, hoping to challenge Nvidia's dominance in the artificial intelligence chip market. Intel launches a new generation of AI chips with double the throughput of the A100.
2, at the "Make AI Everywhere" event in New York, Intel showed off its strong lineup of new products, designed to use the Intel Core? Ultra and the fifth generation of Intel Xeon scalable processors drive AI technology deep into the data center, cloud, network, edge and PC, and open the era of AI for all.
3. A100 is an AI accelerator chip developed by NVIDIA.It is designed for deep learning and high-performance computing workloads. It has 4,608 FP32 cores and 152 Tensor cores with high computational performance and throughput. It also has advanced I/O capabilities that can easily interconnect with various systems and other AI accelerator chips.