Verkor Launches Industry's First TurboQuant LLM Inference Accelerator Silicon IP

VerTQ is an accelerator chip that implements Google's TurboQuant algorithm which reduces KV cache memory usage of Large ...
Morning Overview on MSN

Google’s TurboQuant algorithm slashes the memory bottleneck that limits how many AI models can run at once

Running a large language model is expensive, and a surprising amount of that cost comes down to memory, not computation.

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.
The Verge

Meta’s new AI chips run faster than before

The next-generation MTIA chip could be expanded to train generative AI models. The next-generation MTIA chip could be expanded to train generative AI models. Meta promises the next generation of its ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
Electronic Design

Bring Deep-Learning Inference to Embedded Applications

Deep learning, probably the most advanced and challenging foundation of artificial intelligence (AI), is having a significant impact and influence on many applications, enabling products to behave ...
Hosted on MSN

MIT develops MetaEase to uncover AI cloud failure risks

New AI testing tool: MIT's MetaEase reads algorithm code directly to find hidden failure scenarios before cloud deployment. Why it matters: The tool can prevent outages and cost overruns caused by ...