AI chips need 1.5 years to move beyond cloud: HCLTech
DIGITIMESen

HCLTech said AI chips will need about 1.5 years to move into mass adoption beyond cloud infrastructure, as the industry develops integrated semiconductor platforms to support large-scale AI deployment. The company made the remarks in a white paper released with Omdia on November 3, which highlights Taiwan's key role in powering the next phase of AI infrastructure growth.
This is a short summary published by AI Global Wire. The full article is owned and hosted by DIGITIMES — open it there to read it in full.
Read the full story at DIGITIMES- Forskning
Related AI news
- Taiwan-Netherlands launch four photonics R&D partnershipsDIGITIMES · November 4, 2026
- Research prediction: Shift from digital banking to AI-driven finance will transform financial services in 2027SiliconANGLE · November 4, 2026
- Researchers asked people to use AI chatbots for election info – results were mixedZDNET AI · November 4, 2026
- Want an AI job? Deployment engineers are earning executive-level pay – up to $1.45M a yearZDNET AI · November 4, 2026
- University AI’s biggest challenge? Scaling research without losing controlSiliconANGLE · November 4, 2026
- Pangram releases Pangram Image 1.0, which it says is state-of-the-art in AI image detection, and Image Flash 1.0, which powers its AI video detection (Isaac Kasahara/Pangram)Techmeme · November 4, 2026