Huawei new computing power
on September 18, Huawei released a heavyweight proct, Atlas 900, which brings together Huawei's decades of technological precipitation, is the fastest AI training cluster in the world, and is composed of thousands of ascendant processors. In the resnet-50 model training, the gold standard of AI computing ability, Atlas 900 completed the training in 59.8 seconds, which is 10 seconds faster than the original world record
"imagenet-1k data set" contains 1.28 million images, with an accuracy of 75.9%. Under the same accuracy, the test results of the other two mainstream manufacturers in the instry are 70.2s and 76.8s respectively, and the atlas 900 AI training cluster is 15% faster than the second. Hu houkun said: the powerful computing power of atlas 900 can be widely used in scientific research and business innovation. For example, astronomical exploration, oil exploration and other fields all need to carry out huge data calculation and processing. Originally, it may take several months, but now atlas 900 is just a matter of seconds. The thousands of integrated shengteng processors in atlas 900 are the commercial shengteng 910 some time ago
on the afternoon of August 23, 2019, Huawei's Shenzhen headquarters released shengteng 910, the most powerful a processor, and launched a full scene AI computing framework
Xu Zhijun, chairman of wheel of Huawei, said, Huawei has completed the construction of AI solutions for the whole station and scene, and will launch more AI processors in the future to provide more abundant, more economical and more suitable AI computing power
but it gave him a good excuse. He kept shouting that the wolf was coming, the wolf was coming< but I haven't seen his reaction these two days. It is estimated that he is the most shocked strong>
It is reported that a tlas 900 is composed of thousands of ascend processors, which can improve AI training efficiency by hundreds of thousands of times. Suppose a training takes 5 months, while using atlas 900 only takes tens of seconds! In the resnet-50 model training, the gold standard of AI computing ability, Atlas 900 completed the training in 59.8 seconds, 10 seconds faster than the original world record . For example, it's equivalent to the sprint champion finishing at the end of the race, drinking a bottle of water and waiting for the second place
In addition, Atlas 90 can also play an important role in some specific fields, such as autonomous driving, weather forecasting, oil exploration and so on. In fact, AI intelligent technology has been combined with all walks of life for a long time, and has developed like a raging firein July this year, the world's first drug completely developed by artificial intelligence (AI) has entered the human trial stage. The original development of a vaccine required thousands of people from pharmaceutical companies to work continuously for five years and cost hundreds of millions of dollars. With the help of AI technology, a small scientific research team only developed it in about two years. Ai not only simplifies the process of vaccine development, greatly reces the cost, but also improves the effectiveness of the vaccine
Tiangang chip is the instry's first 5g base station core chip, with ultra-high integration and super computing power, which is embodied in:
1. It can control the instry's highest 64 channel and support 200m carrier spectrum bandwidth. Tiangang chip can fully meet the needs of future network deployment
2. The size is reced by 55% and the weight is reced by 23%. It supports ultra wide spectrum, enabling 90% of the world's stations to achieve 5g without transforming the power supply. It is estimated that the weight of 5g base stations can be reced by half, effectively solving the challenges of difficult site acquisition and high cost
3. It supports large-scale integration of active PA (power amplifier) and passive array under extremely low sky size specification
4, it also has strong computing power, and is equipped with the latest algorithm and beamforming (beamforming), which is about 2.5 times higher than the previous chip performance
