AI Infrastructure news and analysis on Web Pulse: 21879 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
BareMetalRT launches TensorRT-LLM natively on Windows without WSL, enabling heterogeneous tensor parallelism across consumer GPUs over standard networking. Users can run HuggingFace models locally via PyTorch backend, su…
Mahesh Rajasekharan argues that context, not just data, is the critical resource for the AI economy, enabling intelligent systems of action. The Forbes Councils Member emphasizes that businesses must focus on contextual …
China is allowing select AI firms, including Alibaba and ByteDance, to buy limited numbers of Nvidia's H200 chips, temporarily easing a training bottleneck while maintaining a focus on tech self-sufficiency, analysts say…
DeepSeek released V4 Flash, a 284B-parameter MoE model with 13B active parameters per token, featuring FP4+FP8 hybrid attention and 1M native context. The open-weight model, available under MIT license, can self-host on …
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open-weight MoE model with hybrid Mamba-2 and Transformer architecture, under the Linux Foundation's OpenMDW-1.1 license. The model requires server-class hardware…
Open-weights models are dramatically cheaper per token than closed models, with the five cheapest models on the Artificial Analysis pricing index all being open-weights and the five most expensive all closed. The cheapes…
Independent benchmarks of NVIDIA's DGX Spark desktop through mid-2026 show Qwen 3.5 27B as the most consistent all-rounder on the easy Ollama path, while GPT-OSS 120B pushes nearly 4x the throughput but loses on reasonin…
AMD's Ryzen AI Max+ 395 processor powers several new desktop and workstation systems, including the Framework Desktop and GMKtec EVO-X2, offering 128GB unified memory and 256 GB/s bandwidth for local AI workloads. The ch…
Meta launched Muse Spark, its first proprietary AI model with a paid developer tier, reversing its open-source strategy. The model powers Meta AI with visual reasoning and tool-use capabilities, but public API rollout ha…
Tokenstead, a new web tool, lets users select their hardware to find compatible open AI models with speed estimates and cloud-pricing comparisons, aiming to enable local AI model usage independent of vendors or governmen…
Commonwealth Bank of Australia partnered with Microsoft to build an AI-powered omni-channel customer service platform, handling over two million conversations monthly. The solution, co-engineered in under two years, uses…
ZML launched LLMD, a free inference server that runs LLaMA, Gemma, Qwen, and Mistral models on NVIDIA, AMD, Google TPU, Intel, and Apple hardware from a single Docker image. Built in Zig and compiled via MLIR and OpenXLA…
Computacenter shares rose after the hardware reseller joined the FTSE 100, benefiting from surging demand for data centre infrastructure driven by the AI boom. The company is one of the few London-listed tech groups capi…
Bitcoin faces a quantum computing threat to its ECDSA security, with post-quantum signatures like ML-DSA and SLH-DSA being 10-70 times larger, potentially requiring block size increases to 64 MiB or STARK proof compressi…
Meta Platforms released developer access to its Muse Spark AI model and an upgraded version, Muse Spark 1.1, on Thursday, positioning it against Anthropic and OpenAI. The model, priced at $1.25 per million input tokens a…
OpenAI introduced GPT-Live, a new model family powering ChatGPT Voice for over 150 million weekly users, redesigned around low latency and speech-native reasoning. The engineering overhaul moves from cascaded to real-tim…
OpenClaw, a personal AI assistant created by Peter Steinberger, bridges local Ollama models to messaging apps like Telegram, WhatsApp, and Slack, enabling private, hardware-based AI interactions. The project, which passe…
Meta released Muse Spark 1.1, an AI model for coding, available to US developers via a public API preview. The model improves on its predecessor with advanced bug detection, end-to-end agentic workflows, and multimodal p…
AI model security requires protecting machine learning models from vulnerabilities including prompt injection, model extraction, and supply chain risks, with early decisions and frameworks like NIST's AI RMF being critic…
MoonPay has integrated its AI-powered crypto agents into Telegram, enabling over 100 million users to fund wallets, swap tokens, and execute on-chain trades directly within the messaging app. The move turns Telegram into…