Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

Abstract: With the popularity of cloud services, Cloud Block Storage (CBS) systems have been widely deployed by cloud providers. Cloud cache plays a vital role in maintaining high and stable ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time. Cachee reduces that to 48 minutes. Everyone pays for faster internet. For ...

Seagate Technology Holdings plc is downgraded to hold due to near-term risks from energy prices & potential AI CapEx moderation. Read more on STX stock here.

Bernstein upgrades Western Digital and raises targets on Seagate and Sandisk after Google's TurboQuant algorithm sparked a ...

Any software that claims to be independent from hardware is inefficient, bloated software. The time for such software development is over.

Sandisk stock fell ~7% after Google TurboQuant, but compression applies only to KV cache, not total storage demand. Learn why SNDK stock is upgraded to strong buy.

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

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.

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

The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...