Stock Track | KNOWLEDGE ATLAS Soars 5.90% in Intraday Trading on Domestic AI Computing Power Deployment and Acquisition

Stock Track
Jul 21

KNOWLEDGE ATLAS's stock surged 5.90% during intraday trading on Tuesday, marking a significant rebound for the AI company.

The sharp rise follows the company's announcement that it has successfully deployed a 1GW-scale domestic AI computing data center, utilizing entirely domestically produced AI chips. In a related strategic move, KNOWLEDGE ATLAS has also completed the acquisition of the domestic AI heterogeneous computing software firm XCore Sigma.

These actions are seen as addressing two critical capabilities for AI development: computing power supply and computing power utilization. The data center provides the computational resources necessary for large-scale model training, while the acquisition brings expertise in heterogeneous computing software stacks and compilation optimization, which is expected to enhance chip utilization rates, reduce inference costs, and improve model deployment efficiency. Market observers suggest that, supported by this large-scale computing power and infrastructure, the company's next-generation foundational model is poised to evolve towards larger parameter scales and higher intelligence levels.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10