Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
GitHub

Spring Boot REST API

Java 17 or higher Maven 3.6 or higher PostgreSQL 12 or higher Redis 6 or higher IDE (IntelliJ IDEA, Eclipse, or VS Code) src/main/java/com/rskworld ...
IEEE

Circuit techniques in realizing voltage-generator-less STT MRAM suitable for normally-off-type non-volatile L2 cache memory

Abstract: Circuit techniques for energy-efficient STT MRAM, which is suitable for replacing SRAM L2 cache memories, are proposed. The waking-up from the power-down mode without any cycle penalties ...