Inference needs memory: How context is becoming AI infrastructure

As enterprise AI becomes more complex, AI architectures can no longer treat context as temporary.
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Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed

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 ...
VentureBeat

New KV cache compaction technique cuts LLM memory 50x without accuracy loss

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...
TechRepublic

Design of Cache Memory with Cache Controller Using VHDL

The authors report on the design of efficient cache controller suitable for use in FPGA-based processors. Semiconductor memory which can operate at speeds comparable with the operation of the ...
TechSpot

AMD 3D V-Cache CPU memory used to create incredibly fast RAM disk

Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...
Semiconductor Engineering

Adaptive RISC-V Cache Architecture for Near-Memory Extensions (Politecnico di Torino, EPFL)

A new technical paper titled “ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions” was published by researchers at Politecnico di Torino and EPFL. Abstract “Modern data-driven ...
CSOonline

New Linux kernel cross-cache attack allows arbitrary memory writes

Researchers from the Graz University of Technology have discovered a way to convert a limited heap vulnerability in the Linux kernel into a malicious memory writes capability to demonstrate novel ...