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 ...

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.
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.
Yahoo Finance

AI Inference Market Forecast Report to 2030, with Case Studies of Intel, Siemens Healthineers, Nvidia, Eleuther AI

Dublin, April 21, 2025 (GLOBE NEWSWIRE) -- The "AI Inference Market by Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect ...
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 ...
Hosted on MSN

AI market pivots to inference as CPUs and memory gains reshape race

Inference takes center: The industry focus is shifting from training to inference, where CPUs and orchestration tools are increasingly critical for AI performance. Chip leaders shift: AMD and Intel ...