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 - Tech News May 17
Is the UniFi UNVR Gen 2 Worth $699 and $999?
…DRAM and NAND prices have skyrocketed in recent months, driven by high demand from AI data centers. Memory chip prices nearly doubled in Q1 2026 alone, and analysts predict costs will rise…
…Run Enterprise AI on Your Existing Infrastructure Learn how the AMD Instinct™ MI350P PCIe® card delivers exceptional performance, leadership costs, and simplified deployment for enterprises. May 07, 2026 vLLM-ATOM: Unlocking Native…
…and total cost of ownership, is also responsible for critical functions such as memory management, task orchestration, and workload distribution, while ensuring the security, reliability, and operational continuity essential to modern AI…
…All in all, Wildcat Lake seems uniquely designed to help bring down CPU costs. While memory and storage make up a larger share of the bill of materials in 2026, this could…
…The former uses 3GB memory modules, while the latter uses 2GB ones. Either way the company is tapping into a different supply of memory that, in recent months, Samsung and Micron have…
…cost of ownership. It is also responsible for critical functions such as memory management, task orchestration, and workload distribution, while ensuring the security, reliability, and operational continuity essential to modern AI infrastructure…
…With NVIDIA Run:ai, NIM deployments get inference-first prioritization , GPU fractions with full memory isolation, smarter placement based on workload needs, dynamic memory management, and autoscaling (including replica scaling and scale…
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,…
…These workloads can be parallelized and scaled across CPUs, but they are memory and compute-intensive and do not scale particularly well. The cost, memory, and compute requirements of CPU-based scaling…
…The cost of memory components has increased significantly in recent months as AI firms have snapped up large quantities of RAM and storage for the data centers that power cloud-based AI…
…The standout contributor was the memory division, which continues to benefit from accelerating demand tied to AI data centers and high-performance computing infrastructure. The scale of demand for advanced memory technologies…
