AI Infrastructure news and analysis on Web Pulse: 18623 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
SK Hynix raised $26.5 billion in the largest foreign listing on Wall Street, with shares jumping 13% on Nasdaq debut. Chairman Chey Tae-won said the memory chip shortage will persist beyond 2030, driven by demand from AI…
Real-time AI interaction models like Moshi and Qwen-Omni face a hidden collapse risk due to swelling KV cache, causing sudden performance drops under sustained load. A simple fix—bounding each session's resident state wi…
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%…
A developer compares Mem0 and TurboMem as memory layers for TypeScript AI agents. TurboMem runs as a native TypeScript library inside the process, avoiding the separate service and infrastructure required by Mem0. The co…
Google DeepMind's Gemma team partnered with Hugging Face in the Fast Gemma Challenge, achieving a 5x inference speed boost for the Gemma 4 model on a single NVIDIA A10G GPU, with peak performance of 491.8 tokens per seco…
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 …
Moss, a Y Combinator-backed startup building a real-time semantic search layer for conversational AI, is hiring a Senior or Staff SDK Engineer. The role involves owning the architecture and evolution of Moss SDKs across …
OpenAI launched GPT-5.6 on July 9, introducing a three-tier pricing model with the Luna tier at $1 per million input tokens, a 25x cost reduction compared to competitors. The aggressive pricing targets health tech applic…
Vanta introduces a local-first governance model for AI agents, emphasizing containment through least privilege, outbound gating, secret hygiene, audit trails, and kill switches. The approach argues that control planes mu…
Zephyr Cloud's AI Platform team built an end-to-end testing harness for their AI-powered course product using Playwright, replacing only the model calls with deterministic responses to avoid per-run costs. The tests driv…
SK Hynix, the trillion-dollar South Korean chipmaker, debuted on the Nasdaq at $170 a share on Friday, with its American depositary receipts rising nearly 20% to $18.61, signaling strong investor appetite for AI-related …
A developer built a tool that lets AI coding agents automatically sign up for third-party services, handle email verification, and securely store API keys in an encrypted vault, eliminating the last manual chore in AI-as…
Coinbase's Layer 2 network Base processed over 20 million agentic payment transfers in 90 days and 169 million total AI transactions as of July 2026, driven by the x402 protocol for stablecoin-settled machine-to-machine …
SK Hynix CEO Kwak Noh-jung warned on July 10 that the global memory chip industry will face its worst-ever supply shortage starting in 2027, with demand outpacing supply until after 2030, driven by AI's insatiable appeti…
Meta Platforms shares surged approximately 15% in a week, the company's strongest showing since early 2024, driven by AI model launches and plans to build a cloud computing business that would compete with Amazon and Mic…
America's five biggest AI spenders—Alphabet, Amazon, Meta, Microsoft, and Oracle—have doubled their collective debt to $350 billion since 2021, betting on future AI revenue that has yet to materialize. The interest tab e…
General Fusion, a Vancouver-based fusion startup, will become the first publicly traded pure-play fusion energy company on NASDAQ under ticker GFUZ via a SPAC merger with Spring Valley Acquisition Corp. III, valuing the …
A new data-driven pipeline reduces GPU requirements for LLM adapters by 60% by predicting optimal resource allocation. The system uses a digital twin, a distilled machine learning model, and a greedy placement algorithm …
ARCQuant, a new framework for Large Language Model inference, uses the NVFP4 numerical format to achieve up to 3x speedup on GPUs while maintaining accuracy comparable to full-precision baselines. The method overcomes li…
Recent studies highlight that AI agents face efficiency challenges in memory, tool learning, and planning, which are critical for real-world deployment. Researchers emphasize balancing effectiveness with cost and latency…