AI Infrastructure news and analysis on Web Pulse: 31598 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
Nvidia released the NitroGen dataset on Hugging Face, containing metadata for over 14.7 million files across 1,238 unique games. The dataset reveals that 'Elden Ring' is the most represented game with over 1.27 million f…
Kazakhstan signed agreements with U.S.-based Firebird Inc. for AI infrastructure projects worth up to $10 billion, supported by Nvidia chips, aiming to generate $3 billion in annual export revenue. Iran offered Kazakhsta…
A forward-deployed engineer (FDE) is a software engineer who embeds inside a customer's environment, builds a production system on top of the product, and feeds lessons back to core engineering. The role, invented at Pal…
Jean-Baptiste Kempf, lead developer of VLC Media Player, is building Kyber, an open-source infrastructure layer for real-time remote control of robots and drones. The Paris-based startup raised $5 million from Lightspeed…
A developer compares four vector databases—pgvector, Qdrant, Pinecone, and Weaviate—for RAG workloads, explaining that the choice depends on specific workload metrics like vector count, filtering needs, and query through…
South Korean retail investors have boosted their holdings of US stocks to nearly $200 billion, driven by demand for AI companies, but remain in early stages of overseas investing, according to Toss Securities strategist …
OpenRouter launched Fusion API on June 13, an API that routes prompts to multiple AI models in parallel and synthesizes outputs, days after the U.S. government forced Anthropic to pull its Fable 5 and Mythos 5 models. Be…
Xreal unveiled Aura, its first Android XR glasses, at the Augmented World Expo in Long Beach, California. Built with Google and powered by Qualcomm's Snapdragon Reality Elite chip, the lightweight frames offer a 70-degre…
Researchers introduced PACI (Partial Accumulation with Controlled Inconsistency), a method that accelerates asynchronous pipeline parallelism by up to 1.69× over synchronous flush baselines while maintaining the same pea…
A developer discovered that AI coding agents like Claude can inadvertently expose sensitive API keys and access tokens by storing them in plain text within local session logs. The team at PrismorSec developed an open-sou…
An engineer explains how Retrieval Augmented Generation (RAG), the Model Context Protocol (MCP), and agentic architectures bridge the gap between large language model demos and production systems. RAG gives models access…
A proposal to integrate bounce compression natively into Hugging Face Hub promises 25% bandwidth savings for model downloads, with benchmarks showing 7% better compression than zstd and 5x faster decompression than gzip.…
A developer details their 2026 homelab stack, which runs across four machines including a Mac Mini, Ubuntu mini PC, Raspberry Pi 4, and Raspberry Pi 5 with Hailo 8 AI HAT. The stack uses Traefik for reverse proxying, Tai…
Argybargy is a new open-source peer-to-peer bridge that connects multiple AI agents and sessions across different machines, apps, and model vendors using plain HTTP/JSON. The tool enables agents to communicate, coordinat…
Attestor, a TypeScript prototype admission layer for AI agents, provides a customer-owned gate that checks policy, authority, scope, freshness, replay, and evidence before allowing high-risk operations such as payments, …
Samsung Electronics reviewed plans to expand high-bandwidth memory shipments and secure long-term supply agreements with major AI customers at its global strategy meeting last week, as tightening memory supply and soarin…
A developer built a production ML inference API using FastAPI, Celery, and Docker. The architecture uses FastAPI for async HTTP handling, Celery for background task processing, and Redis for queue and result storage. The…
A developer trained a large language model from scratch using plain PyTorch, implementing the full post-training pipeline including SFT, reward modeling, DPO, PPO, and GRPO on public datasets, all runnable on a single GP…
A developer building with Claude Code discovered that AI task execution can be significantly sped up by splitting independent modules and running multiple agents in parallel. The approach requires a loosely coupled, high…
A developer wired an LLM as a first-class Yjs peer using y-prosemirror and the standard awareness protocol, demonstrating that AI agents break three silent assumptions in collaboration stacks: throughput, undo ownership,…