AI Infrastructure news and analysis on Web Pulse: 18114 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
New research characterizes the intrinsic compressibility of KV caches in Transformer models, proposing a principled algorithm for efficient inference. The study uses minimax risk to determine when accurate compression is…
VAST Data closed its Series F financing at a $30 billion valuation, positioning its cache storage solutions as critical for scalable and cost-effective AI infrastructure in the exabyte era. The company's focus on key-val…
A developer argues that C# is well-positioned for AI infrastructure, citing TensorSharp, a native C# inference engine that outperforms stable-diffusion.cpp in benchmark tests. The article draws parallels between Bun's Ru…
Ypipe, a Java-based local AI client and MCP orchestrator, launches to enable enterprise-grade private agentic workflows without external dependencies. The tool runs entirely offline, supports local LLMs, and integrates w…
OpenAI has paused its Stargate UK datacentre project, a planned £31bn investment, citing strict regulations and high energy costs in the UK. The decision casts doubt on the UK's ability to attract large-scale AI infrastr…
Avride Inc. integrates cloud-based vision-language models into its delivery robots to enhance situational awareness beyond onboard sensors, enabling them to understand context such as distinguishing a police officer dire…
Developers are creating tools to reduce token consumption by AI coding agents, addressing the rising cost of tokens in 2026. Three projects—rtk, caveman, and superpowers—take different approaches: rtk compresses CLI outp…
GPU architect Raja Koduri's startup Oxmiq raised $35 million on July 1, 2026, to scale its OxCore architecture, a licensable GPU IP block that fuses CPU, GPU, and tensor engines for AI workloads. The Series A, co-led by …
The race to dominate AI requires billions in investment for research, infrastructure, and talent, with companies like Google and OpenAI spending heavily to avoid irrelevance. Falling behind in AI means losing market shar…
An £8.2bn AI datacentre project in Lanarkshire, Scotland, by US firm CoreWeave and Scottish company DataVita faces a power supply issue despite promises of on-site renewable energy by 2030, with public records revealing …
AI's rapid expansion is hitting economic turbulence as infrastructure costs balloon and profits flatline, with the Bank for International Settlements warning of parallels to past tech booms. Hyperscalers face memory supp…
Ornn, backed by Andreessen Horowitz, raised $33 million to build a marketplace for trading AI computing power as a commodity, aiming to bring price stability to the AI industry. Goldman Sachs estimates $7.6 trillion will…
The U.S. government's June 12, 2026, restriction on Anthropic's Mythos models has eroded trust in closed-source AI, accelerating a shift toward open-weight models from China. Companies like Palantir and Meta are question…
In 2026, AI development requires a clear understanding of loop and harness engineering, as confusion between these disciplines leads to production failures in AI agents. Loop engineering manages task execution and state,…
CompLLM, a new compression method for large language models, achieves linear scaling with context length by segmenting and independently compressing text chunks, slashing processing time and KV cache size by 50% while en…
MoteDB 0.5.1, an embedded database for robots, has been released after 18 months of development. The update introduces atomic epoch-bounded reads to prevent data gaps during buffer drains, incremental DiskANN for online …
Reinforcement learning agents using REINFORCE and PPO algorithms achieved a 3.5x improvement over Round-Robin and 48% over Shortest-Queue in multi-GPU routing optimization, boosting throughput by 60% and reducing latency…
Researchers introduced two CUTLASS-based kernels that accelerate the SwiGLU activation function in large language models by up to 2.47x on NVIDIA H100 GPUs, shifting workloads from memory-bound to compute-bound and achie…
Agentic AI systems are being explored to enhance Open RAN operations, offering explicit planning and self-management for network slice lifecycle and radio resource management. Research shows agentic primitives can reduce…
An analysis of Claude Code's July 8 changelog reveals that production agent reliability depends on runtime state management, not just prompt quality. The update fixed issues like lost messages, stale status indicators, a…