MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

Penguin Solutions today announced its MemoryAI KV cache server, the industry's first production-ready KV cache server ...

Nearly always the top CPU on any list you'll see.

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large ...

For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters and higher FLOPS drove the conversation to make the most of GPUs. This ...

Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced Marvell® ...

It is the first African country to deposit data in the Arctic World Archive, a storage facility designed to protect records of everything from cultural practices to historical events ...

This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...

Actually, that's not true, I absolutely do. Uninformed people make a claim online; it gets repeated as received wisdom; Reddit references it; and ChatGPT and other large language models use those ...

Zram versus zswap – two ways to get a quart into a pint pot Linux has two ways to do memory compression – zram and zswap – but you rarely hear about the second. The Register compares and contrasts ...

Fix Your Intel Optane memory module is starting to degrade, Please disable Intel Optane memory to avoid data loss error ...