Nvidia shrinks LLM memory 20x without changing model weights

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.

CyberRidge’s Carmel Platform Named Finalist in 2026 SC Awards for Best Emerging Technology

Closing the "Harvest Gap", it is the only solution that turns data into optical noise, making fiber data transmissions ...

Fortive Corporation (FTV) Presents at JPMorgan Industrials Conference 2026 Transcript

JPMorgan Industrials Conference 2026 March 17, 2026 12:20 PM EDTCompany ParticipantsMark Okerstrom - Senior VP & ...

Equipo Health Unveils Embedded AI Ecosystem to Drive the Next Phase of Care Management Intelligence

Equipo Health launches embedded AI ecosystem to surface real-time insights, reduce care team burden, and improve ...

NVIDIA Corporation (NVDA) Presents at NVIDIA GTC AI Conference 2026 Prepared Remarks Transcript

Welcome to the stage, NVIDIA Founder and CEO, Jensen Huang. Welcome to GTC. I just want to remind you, this is a tech conference. All these people are lining up so early in the morning, all of you in ...