CE4001S2T2B2VRecently, Cailiannews reporters in the industry learned that from the computing power, edge reasoning ability, cost comprehensive considerations, the penetration of artificial intelligence in the edge field will become a key trend, a number of giants into the track, many mature solutions emerge, edge AI is on the rise, and the global edge market size will reach 100 billion dollars in 2030.
Mature solutions for AI aimed at the edge emerge
Cailiannews reporter recently learned from Intel that in the first half of this year, Intel China’s edge business maintained year-on-year growth, and the company expects this trend to continue. Edge AI has been a focus for Intel over the past few years, with deployments in retail, medicine, logistics, agriculture, transportation, manufacturing, and more.
Sachin Katti told CaiAP reporter, “Now we talk about edge AI has actually progressed from edge machine vision to such as large language models, edge applications and generative AI, so Intel will continue to provide relevant capabilities to accelerate the deployment of generative AI and large language models at the edge.” “We’ve expanded beyond the hardware to the application layer, software and customer service support.”
During this year’s MWC, Intel said it has completed more than 90,000 actual depCE4001S2T2B2Vloyments at the edge. Sachin Katti said at the conference that Intel will take an open, modular, unified platform as the core of the approach to accelerate the deployment of edge Al solutions. “On the hardware side, we will provide GPU and NPU solutions with enough memory, and many models such as Llama 2 and Llama 3 can run locally.” In terms of ecology, Intel’s Network and Edge division has established cooperative relationships with more than 500 Oems/ODMs and more than 150 ISVs in China.
In fact, not only Intel, AMD, Nvidia, Qualcomm and other giants, Yuntian Lifei (688343.SH), China Science and Technology Chuangda (300496.SZ), Guoke Micro (300672.SZ) and other A-share listed companies have been aimed at the edge of the action.
At the same time, Caixin reporters noticed in the exhibition area of the conference that A-share manufacturers such as robots (300024.SZ), Deep convincing (300454.SZ), digital video (300079.SZ), and China Science and Technology Chuang Da all displayed their own edge AI achievements.CE4001S2T2B2V
In the exhibition area, the reporter of Caiyun News noticed a case of data annotation through automated means in the process of model training. Booth staff told reporters that based on Intel core processor, Intel Sharp independent graphics card ARC770 to create the CNN edge training program, with the help of visual large model to achieve automatic picture annotation and MLFlow based model automatic retraining. “The original training model to find the algorithm company, the annotation needs people to complete, now you can use the machine annotation, training costs, labor costs are greatly reduced, and now the industry is slowly appearing this kind of training and promotion program.”