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.

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

South Korean operator SK Telecom (SKT) claimed it can solve memory supply chain issues using SK Hynix wares as it continues ...

Nvidia debuts the Groq 3 language processing unit, a dedicated inference chip for multi-agent workloads - SiliconANGLE ...

A study in mice concluded that memory problems associated with age may be driven by our gut microbiome and that the vagus ...

MacBook Air M5 raises the base spec; it starts at $1,099 with 16GB RAM and 512GB storage, with upgrades up to 4TB.

But for a few years until 2021, the company kept its roadmaps folded up in the front left inside pocket of co-founder and ...

It also develops its own series of AI models, and today it announced the availability of its most capable model so far. The ...

Apple M5 Max raises memory bandwidth to 614 GB/s; up 13% over M4 Max, improving large-model loading and data-heavy workflows.

MacBook Pro 16 M5 Pro, M5 Max Review: Go, Speed Racer, Go ...