This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

This paper proposes a new algorithm that allows us to compute pairwise-correlation sensitivities in a Monte Carlo framework by modifying only one trajectory at ...

The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...

The memory chip shortages probably won't last forever.

NetApp (NTAP) offers an attractive valuation for a stock that has demonstrated stability and robust profitability, with ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

On the post-quantum side, Cryptolib now includes hardware-accelerated implementations of three families of NIST-standardized PQC algorithms: ML-KEM, ML-DSA, and SLH-DSA. The SLH-DSA (SPHINCS+) ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

AI will accelerate tech job growth - former Tesla president explains where and why ...