#Hardware
Curated coverage on «Hardware»: releases, research, benchmarks, open-source.
Meta Starts Building Servers from Old DDR4 Memory Amid DRAM Shortage
Meta is installing DDR4 modules from decommissioned machines in new servers through a custom ASIC adapter called Vistara—a way the company is easing the global…
Compute Exchange: Carmen Lee builds GPU computing market bigger than oil market
In Bloomberg Odd Lots podcast, CEO of Compute Exchange and Silicon Data Carmen Lee discussed how her company is building a tradeable GPU computing market and GPU…
NVIDIA XR AI: How the Company Helps Developers Build AI Agents for AR Glasses
NVIDIA described the infrastructure gap in developing AI agents for AR glasses and XR devices: the hardware is ready, but integrating live AI services remains…
Honda begins battery production for data centers at cancelled EV factory
Sonya Yun: chip demand cycles and hyperscaler AI spending cycles are diverging
FuriosaAI launched RNGD chips in Europe as a cheaper alternative to Nvidia
Jensen Huang: A $500K Engineer Should Spend At Least $250K Yearly on AI Tokens
Typhoonminigen 2.0: Open-Source macOS App for Local FLUX.2 Klein Generation
A developer-enthusiast released Typhoonminigen 2.0—a free macOS app for local FLUX.2 Klein image generation on Apple Silicon, whose code was written by Claude Opus…
Synopsys exits chip fab software to focus on more profitable AI chip design
Synopsys is preparing to exit software that manages semiconductor fab operations and redirect engineers to developing tools for AI chip design.
AI data center builders target Native American reservation lands in the USA
AMD Shows How to Run AI Agents on PCs with 128 GB of Memory
Simple Diffusion: compact model 100 times cheaper than SDXL
NVIDIA DSX OS: open operating system for AI factories of any scale
NVIDIA DGX Spark: Local AI Agents on Accelerated Models with Clustering
NVIDIA introduced support for local AI agents on DGX Spark with faster models and multi-node clustering capabilities for scalable workloads.
AI Infrastructure Will Consume 2.27 Billion Cubic Meters of Water Annually by 2030
AI data centers face critical water scarcity: consumption will grow 10-fold due to GPU and processor cooling.