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 — ...

If you run LLMs locally, these are the settings you need to be aware of.

Boeing engineers Kevin Kwak (foreground) and Klaus Okkelberg confer with fellow team members Arvel Chappell III and Andrew Riha (both on-screen), who worked together to prototype a large language ...

Accelerating memory-dependent AI processes, Penguin's MemoryAI KV cache server increases memory capacity by integrating 3 TB of DDR5 main memory and up to eight 1 TB CXL Add-in Cards (AICs). Penguin ...

BARCELONA, Spain, March 5, 2026 /PRNewswire/ -- At the Huawei Product & Solution Launch during MWC Barcelona 2026, Yuan Yuan, President of Huawei Data Storage Product Line, officially launched ...

French President Emmanuel Macron on Saturday inaugurated the annual Paris Agriculture Fair without cattle for the first time ever after an outbreak of lumpy skin disease. France's two main farmer ...

Sandisk has surged on unprecedented AI data center capex, driving explosive earnings and share price gains. SNDK now trades at historically high multiples, with much good news priced in and ...