New adaptive, mesh NoC topologies are enabling chip designers to optimize data movement in complex SoCs and multi-die systems ...

Tokenmaxxing is pushing AI usage to the limit, but more tokens do not automatically mean better results. Learn how to ...

To this day, there stands a tall sycamore tree at the historic Lower Bridge near the Antietam Creek civil war battlefield.

SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...