Kneron, a Taiwanese AI chip startup backed by Qualcomm, has unveiled its latest offerings, posing a challenge to industry giants like Nvidia and AMD. The company introduced the KNEO 330, its second-generation ‘edge GPT’ server, which utilizes generative pre-trained transformer (GPT) technology. This technology allows AI algorithms to generate text and images after being trained on vast datasets, similar to OpenAI’s ChatGPT.
The KNEO 330 is designed for companies that prefer to operate their own AI applications on their premises instead of relying on servers owned by cloud service providers. This approach prioritizes data privacy, which is crucial for large corporations, medical centers, and financial institutions. By using Kneron’s on-premise servers, businesses can create their own AI applications without sharing their data with external entities.
Kneron’s announcement comes shortly after Nvidia and AMD unveiled their newest AI chips, which are targeted at vast data centers of tech giants capable of training extensive AI models. Additionally, Kneron’s latest KL830 processor chip will be integrated into a new PC, posing a challenge to Intel and AMD, which manufacture PC chips. The KL830 enables the PC to process AI applications locally, enhancing privacy as data remains disconnected from the internet.
Perspective:
The comments section is filled with excitement and curiosity about Kneron’s new AI chips. Many users see this as a significant challenge to Nvidia and AMD, while others are interested in the potential applications of on-premise AI servers. Some users have expressed concerns about the cost and feasibility of implementing these solutions, but overall, the reaction is positive.
Data:
- The global AI chip market is projected to reach $115.6 billion by 2027, growing at a compound annual growth rate (CAGR) of 34.4% from 2020 to 2027.
- The use of edge AI, which involves processing data closer to where it is generated, is expected to increase significantly in the coming years, with 75% of enterprise-generated data expected to be processed at the edge by 2025.
- The demand for AI chips is driven by the increasing adoption of AI and machine learning in various industries, including healthcare, finance, and retail.
Original Article: https://www.cnbc.com/2024/06/05/kneron-launches-latest-ai-chips-in-latest-challenge-to-nvidia-amd.html
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