AI Infrastructure news and analysis on Web Pulse: 32008 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
SpaceX unveiled the AI1 orbital data-center concept, a craft with an interchangeable compute payload averaging 120 kW and peaking at 150 kW, powered by a 150-kilowatt solar array and cooled by 110 square meters of deploy…
LG CNS and Doosan Corp. signed a memorandum of understanding Thursday to form a broad technology alliance spanning agentic AI, robotics, data centers, and cloud computing. The partnership aims to combine LG CNS's digital…
SK Hynix shares surged more than 7% to a record high in Seoul, driven by renewed AI chip demand after Intel's bullish earnings report. The rally pushed South Korea's KOSPI index past 8,000 points for the first time, as S…
Whoop is offering a one-month free trial of its Peak membership, including a pre-owned Whoop 5.0 device, to new customers in June 2026. The company also provides military, first responder, and student discounts of 10%, a…
The global memory chip market is projected to reach 1,500 trillion won ($975 billion) in 2026, quadrupling from 360 trillion won in 2025, driven by surging demand for server memory products as tech companies invest heavi…
AI DevKit launches a local control plane for AI coding agents, enabling shared configuration, memory, and cross-agent communication across tools like Claude Code, Codex, and Cursor. The tool addresses orchestration chall…
PwC's 2026 Global AI Jobs Barometer, analyzing over one billion job ads across 27 countries, finds the average wage premium for AI-skilled workers has reached 62%, up from 57% the prior year. Jobs requiring AI-specific s…
Profile v2.1.4, a physics-aware optimizer for vLLM inference servers, achieved a 15x throughput increase from 31 to 470 tok/s and a 93% cost reduction on an NVIDIA A100 GPU. The tool uses roofline math to compute theoret…
The Model Context Protocol team released Enterprise-Managed Authorization (EMA) as a stable extension on June 18, 2026, replacing per-user OAuth queues with centralized identity provider-based access. Administrators conf…
Doosan Corp. and LG CNS signed an MOU to collaborate on data centers, hydrogen drone logistics, and AI and robotics transformation, aiming to combine Doosan's hydrogen fuel cells with LG CNS's cloud and AI platforms to e…
Amazon is exploring selling its custom Trainium AI chips to third-party data centres, according to Bloomberg and TechCrunch. AWS AI chief Peter DeSantis confirmed early-stage talks, noting that external sales would not h…
Snap spun off its AI video team into a new company called Dotmo due to high costs, signaling that video generation remains the most expensive AI task. The move highlights the financial burden of AI video development, whi…
Flourish Labs has secured $500 million in funding to develop a new approach to artificial intelligence based on neuroscience principles. The company aims to reinvent AI by leveraging insights from brain function, potenti…
Stagwell launched The Media Machine, an AI-powered operating system for media buying and planning, extending its existing The Machine platform. The system integrates with major sell-side ecosystems like Google, Meta, and…
Researchers propose SPSD, an edge-based pipeline that compresses user prompts using a small language model before sending them to a cloud LLM, reducing input tokens by an average of 99.9 per call while maintaining respon…
Researchers at arXiv analyzed the performance of Med-DDPM, a 3D generative diffusion model for MRI synthesis, across three generations of NVIDIA GPUs. They identified inefficiencies in memory access and Tensor Core utili…
Researchers propose QueryGaussian, a training-free framework for open-vocabulary 3D instance retrieval that decouples semantic understanding from geometric representation, enabling efficient retrieval in city-scale scene…
Researchers introduced SLARouter, an online routing algorithm for large language model (LLM) applications that learns cost-optimal policies from sparse user feedback while guaranteeing Service Level Agreement (SLA) compl…
Researchers introduced a continuous relaxation of the determinantal point process (DPP) maximum a posteriori (MAP) problem for diversity-aware data selection, reformulating it as a nonlinear eigenvalue problem (NEPv) on …
Researchers introduced GRACE, a theoretical framework that determines the optimal verification granularity for test-time scaling in large language models based on problem difficulty, verifier accuracy, and compute budget…