Memory Chip Aims to Speed Up AI
AI memory chips help servers and data centres run AI workloads faster, process more data, and use less power. SK hynix has shipped samples of its 12-layer HBM4E, its next-generati...
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AI memory chips help servers and data centres run AI workloads faster, process more data, and use less power. SK hynix has shipped samples of its 12-layer HBM4E, its next-generati...
On-device AI models have stayed small because the entire weight set has to live in DRAM, capping practical parameter counts well below what server-side deployments use. Enterprise...
Presented by SolidigmAs inference workloads evolve from discrete question-and-answer exchanges into persistent, multi-step agentic systems, GPU availability is no longer the most c...
AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in laten...
The MiniCPM5, developed by OpenB, represents a shift in AI design with its emphasis on a “cognitive core” rather than relying heavily on memorization. Featuring a dense architectur...
Running low on memory, can't afford more? The House of Zen's latest acquisition puts an AI spin on flash-based memory expansion
The new chipset targets CUDIMM, CQDIMM, and CSODIMM modules for AI PC desktops and laptops.
New AI compression technology targets always-on devices by significantly reducing memory and transmission overhead, helping wearables and edge systems extend battery life while ret...
With its next-gen AI accelerators, the SoC vendor aims to fly high above the memory wall
AMD's Gorgon Halo chips raise the memory ceiling to 192GB and make a compelling case for local AI compute.
With the big AI providers cracking down on usage limits for their most powerful agentic features, it’s tempting to kiss our ChatGPT, Claude, and Gemini subscriptions goodbye and go...
Источник: Компьютерра - Журнал о науке и технологиях Южнокорейский производитель микросхем SK hynix и американская компания TetraMem объявили о завершении совместной разработки пр...
Why your phone, your clinic, and your factory floor are about to run AI that used to need a data centreContinue reading on Medium »
Compression on Arrival Tool outputs should be compressed after a call returns, not after the window fills.
AMD has introduced its Ryzen AI Max 400 series, expanding its AI-focused processor lineup with a refreshed design based on the “Strix Halo” platform. The new series builds on the f...
A new in-package cooling innovation tackles rising heat challenges in 3D-stacked memory chips, improving thermal efficiency and stability for AI workloads while enabling higher ban...
Centered Daydreaming alters the network's processing to analyze local variations relative to a running baseline average rather than absolute pixel inputs.
Claude Code’s default memory system has faced challenges in supporting users with complex workflows, particularly in maintaining context continuity and allowing efficient recall. S...
New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.
Introduction <p class="wp-block-paragraph">Enterprise AI teams eventually reach the same uncomfortable question: what should the agent remember?</p> <p cla...
128 GB of memory! In this economy?
Memory optimization is essential for enhancing the performance of AI systems like Claude. Simon Scrapes examines three distinct memory management systems: Claude’s default setup, t...
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