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. Every time a model like Gemini or GPT-4 processes a long document or sustains a ...
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 ...
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 ...
TechRadar

What is AI inference at the edge, and why is it important for businesses?

AI inference at the edge refers to running trained machine learning (ML) models closer to end users when compared to traditional cloud AI inference. Edge inference accelerates the response time of ML ...
InfoQ

Java Feature Spotlight: Local Variable Type Inference

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...