AINewsnow

Alibaba Unveils New AI Chip, Calls It China’s Most Powerful

This story is from 2026-09-22. It is preserved in the archive; the latest stories are on the live feed.

Alibaba Group Holding Ltd. is rolling out what it calls China’s most powerful AI chip, an accelerator to compete with Nvidia Corp. and underpin a massive expansion of data center capacity in coming years.

Read the full story at Bloomberg AI ↗

Timeline · 9 reports

  1. 2026-09-22 13:54 · Bloomberg AI
    Alibaba Unveils AI Chip to Compete With Nvidia
  2. 2026-09-22 13:36 · Fortune AI
    Alibaba says it built the most powerful AI chip in China' as the country races to catch up with the U.S.
  3. 2026-09-22 12:33 · TechNode
    T-Head unveils Zhenwu V900 AI chip in Alibaba’s push to expand its AI infrastructure stack
  4. 2026-09-22 08:32 · Mint AI
    Alibaba unveils new AI chip to challenge NVIDIA, plans Qwen models with up to 10 trillion parameters
  5. 2026-09-22 07:49 · Wall Street Journal Technology
    Alibaba Unveils New AI Chip, Outlines Plan for Larger Model
  6. 2026-09-22 07:12 · TechNode
    Alibaba unveils Zhenwu V900 AI chip as it targets 20GW of cloud data centers by 2032
  7. 2026-09-22 05:59 · South China Morning Post Tech
    Alibaba teases 10-trillion-parameter model, debuts ‘China’s most powerful’ AI chip
  8. 2026-09-22 03:00 · r/LocalLLM
    Alibaba Unveils AI Chip to Drive 20GW of Data Centers by 2032
  9. 2026-09-22 02:21 · Bloomberg AI
    Alibaba Unveils New AI Chip, Calls It China’s Most Powerful

More stories

  1. Running LLMs on a CPU-Only Server: My Benchmark of Gemma, Qwen, Spark, and MiniCPM — DEV Community — AI
  2. Apple opens Siri AI to all developers in iOS 27.3 preview — ZDNET AI
  3. When AI Weight Surgery Met My Daughter's Lazy Eye: A Builder's Notes on Dichoptic VR — DEV Community — Machine Learning
  4. Is this good enough for running Qwen next flash — r/LocalLLM
  5. Can you run a local LLM offline on a flight? What to check before you board — DEV Community — AI
  6. What can I run on a single 5090 with 32GB DDR5 RAM? — r/LocalLLM
  7. [Release] Qwen3.8-Flash-Next DR-V2-Q2_0 GGUF - Fits in 48GB VRAM (38.4 GB Backbone), 83.3% AIME 2025, 74.7% Aider Polyglot — r/LocalLLM
  8. CyberTiel35BA3B working on Blender Rigging via MCP. 8GB VRAM, 16GB RAM. llama.cpp. — r/LocalLLaMA

Get the daily brief of stories like this at 6:30 every morning →