Use AI to Strike Back at AI Memory Prices
Snap’s GPU-Accelerated Secret to Processing 10 Petabytes a Day | NVIDIA AI Podcast Ep. 298
Understanding the AI Tokenomics Equation
Snap’s GPU-Accelerated Secret to Processing 10 Petabytes a Day | NVIDIA AI Podcast Ep. 298
AMD Ryzen™ AI Halo: Build the AI You Want. Your Stack. Your Rules.
Corsair Mini Workstation 300 First Look! This This Is FAST
Mother******. - Tech News May 10
They Built A Workstation.. So I Turned It Into A Powerful Steam Machine!
Tossing a huge wrench into the RAM situation
Is the UniFi UNVR Gen 2 Worth $699 and $999?
…Within these environments, CPUs orchestrate workloads, manage memory and data movement, and support the enterprise applications that run alongside AI models in production. That makes CPU performance and efficiency more important than…
…The strategic impact includes fast deployment of new AI services, cost predictability, and robust alignment between AI infrastructure and business requirements. For regulated industries, unified on-premises infrastructure provides the control and…
…dramatically reduce inference costs while providing high performance.” How so? Seagate and Supermicro say a smart AI stack separates short-term memory (flash) from long-term memory (disk) and uses each tier…
…a Basic $31/month machine with a pair of vCPUs and 4GB of memory, the $41/month Standard machine with 8GB of RAM, and a $66/month Premium product that offers four…
…making AI memory. Nvidia will likely divert its limited GDDR7 supply away from a super series of graphics cards and towards high-margin RTX 5090 laptop GPUs and professional AI workstations. This…
…Demand from AI datacenters isn’t slowing down, and Samsung Electronics has just taken its last orders for budget smartphone memory : LPDDR4 and 4X RAM chips that, despite their age, still underpin…
…For more context on what is driving the cost increases throughout the industry, there is currently a massive supply and demand imbalance for memory. On the demand side, the boom in AI…
Higher revenue & profits for enterprise AI mean that AMD consumer products will continue experiencing reduced volumes and higher prices. Convincing gamers to shift from AM4 to AM5 felt like a stretch that was immediately…
I'm a big fan of on-device AI inference for a million reasons, especially its potential to significantly reduce or even potentially eliminate the need for massive AI data center projects in the United States. But so far,…
https://github.com/mnemos-dev/mnemos Mnemos turns Claude Code session history (the .jsonl files under ~/.claude/projects/) into a folder of refined markdown notes that your next Claude Code session reads as a brief…
This started out as an experiment. Reading Simon Willison's blog on where StrongDM was going with dark factories and Digital Twin Universeshttps://simonw.substack.com/p/how-strongdms-ai-team-build-se...I got thinking tha…
Hey HN, we're Willy and Dan, co-founders of Twill.ai (https://twill.ai/). Twill runs coding CLIs like Claude Code and Codex in isolated cloud sandboxes. You hand it work through Slack, GitHub, Linear, our web app or CLI,…
…Mini PCs It costs more than you'd think. Mini PCs Nvidia has raised the DGX Spark’s MSRP by $700, blaming constrained memory supplies as AI hardware demand continues to strain…
…of premium AI PCs, where higher average selling prices (ASPs) help offset rising memory costs.” Taking the broader OLED market into account, which also includes tablets, monitors, automotive displays, and other segments…
…Much of the pressure is linked to the rapid expansion of AI infrastructure, which continues to consume manufacturing capacity for DRAM, NAND, and advanced memory products used in accelerators and high-performance…
