🧊 Google Freezes AI Into Silicon Google is developing the Frozen v2 chip, which hardwires the Gemini model's base architecture directly into hardware. The chip achieves 6–10x higher efficiency than current custom solutions in tokens per watt, with faster responses due to reduced data transfers. While the base structure is fixed, model weights remain updatable. Launch is planned for 2028, according to Google.
CrynetShare
Source:Show original
Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of KuCoin. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. KuCoin shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information.
Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. For more information, please refer to our Terms of Use and Risk Disclosure.