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AI Infrastructure

AI Infrastructure news and analysis on Web Pulse: 17235 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.

17235 articles page 212 of 862 0 sources 30 min sync cycle updated 2026-07-10

// latest articles 17235 indexed

22:34
2026-07-10
fortune.com
artificial-intelligence · 3m read ↑ pos

Memory chip giant SK Hynix jumps nearly 13% in Wall Street debut as AI frenzy powers biggest initial share sale in the U.S. by a foreign company

SK Hynix shares jumped nearly 13% in their Wall Street debut, marking the largest initial share sale in the U.S. by a foreign company, as surging demand for AI-powered memory chips drives the company's growth. The South …

22:28
2026-07-10
tokenstead.ai
large-language-models · 1m read · neu

DeepSeek V4 Pro

DeepSeek releases V4 Pro, a 1.6-trillion-parameter Mixture-of-Experts model with 49 billion active parameters per token, achieving a top open-weight score of 80.6% on SWE-bench Verified. The model requires multi-H200/H10…

22:12
2026-07-10
machinebrief.com
artificial-intelligence · 3m read ↑ pos

Spectral Space: The SAR Method in AI

Researchers introduced Subspace-Aligned Rewiring (SAR), a post-training editing method for large language models that isolates reasoning-effective components in spectral space, preserving over 99% of performance using as…

22:05
2026-07-10
dev.to
large-language-models · 6m read · neu

Despligue local GLM 5.2

A developer detailed the local deployment of GLM 5.2, a 753B MoE model with 40B active parameters requiring 1.51TB of RAM in BF16 precision. Unsloth's dynamic quantizations, such as UD-Q3_K_XL at 343GB, offer a realistic…

21:55
2026-07-10
machinebrief.com
large-language-models · 2m read ↑ pos

LARA: Steering Language Models Without Repeated Weight Updates

Researchers introduced Lagrangian Reward Augmentation (LARA), a framework that steers frozen language models using safety constraints during inference without repeated weight updates. LARA improves the trade-off between …

21:26
2026-07-10
machinebrief.com
artificial-intelligence · 3m read ↑ pos

Optimizing GLM-5: Why Bigger Isn't Always Better

OpenClaw's GLM-5 inference optimization study found that adjusting parameters like chunked prefill size and request concurrency improved throughput and reduced latency, cutting serving costs by 10.4% per request and 9.6%…

21:12
2026-07-10
millfolio.app
artificial-intelligence · 8m read · neu

Managing a small local AI budget

Millfolio's local AI budget management system uses a three-tier tagging approach—string, reference, and AI tags—to classify financial transactions on-device without repeated inference costs. AI tags are computed once at …

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