Skip to content
Tech News
← Back to articles

What Google's TurboQuant can and can't do for AI's spiraling cost

read original get AI Cost Management Toolkit → more articles
Why This Matters

Google's TurboQuant aims to address the rising costs of AI by significantly reducing memory usage through quantization, making AI models more efficient and accessible. While it offers promising improvements in hardware demands, it is unlikely to curb the ongoing growth and investment in AI technology, given the persistent demand for more advanced capabilities.

Key Takeaways

Orla/ iStock / Getty Images Plus via Getty Images

Follow ZDNET: Add us as a preferred source on Google.

ZDNET's key takeaways

Google's TurboQuant can dramatically reduce AI memory usage.

TurboQuant is a response to the spiraling cost of AI.

A positive outcome is making AI more accessible by lowering inference costs.

With the cost of artificial intelligence skyrocketing thanks to soaring prices for computer components such as memory, Google last week responded with a proposed technical innovation called TurboQuant.

TurboQuant, which Google researchers discussed in a blog post, is another DeepSeek AI moment, a profound attempt to reduce the cost of AI. It could have a lasting benefit by reducing AI's memory usage, making models much more efficient.

Also: What is DeepSeek AI? Is it safe? Here's everything you need to know

... continue reading