AI Infrastructure news and analysis on Web Pulse: 25522 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
OpenAI is expanding its advertising business beyond standard search ads, with job listings for engineering roles focused on new ad formats including image, video, and conversational ads. The company aims to balance user …
NVIDIA launched a new business model enabling AI clouds to procure its infrastructure through revenue-sharing and credit-support, accelerating access to large-scale accelerated computing for startups, model builders, and…
US home battery installations hit a record 673 megawatts in Q1 2026, driven by rising electricity costs and state incentives in California, Hawaii, Texas, and Arizona. The trend helps homeowners store solar energy and co…
Hyperscalers like Meta and Oracle are investing heavily in AI data center infrastructure while acknowledging significant financial risks. Oracle's SEC filing warns of potential cost overruns and delays, while Meta report…
OpenAI CEO Sam Altman proposed an international AI safety body, but public backlash against AI is intensifying. A Gallup survey found 71% of Americans oppose local data centers, and opposition delayed or blocked 75 US da…
Mastra AI argues that model routers require rigorous testing beyond simple model selection, introducing scorers, datasets, and experiments to validate routing decisions across quality, cost, speed, and safety axes. The c…
Vercel has launched routing rules for its AI Gateway, enabling teams to rewrite or block model requests at the gateway level without code changes. The feature, now in beta, allows instant rerouting when models go down or…
Gigamon COO Gareth Maclachlan discussed the company's deep observability platform and its partnership with Elastic, which enables security teams to detect lateral movement and investigate threats across hybrid and multic…
A developer built a minimal control plane in Python that maintains a desired number of Docker containers, demonstrating level-triggered reconciliation. The system automatically restarted a killed container without extern…
ClickHouse Agents, a fully managed agentic service powered by Claude, is now available for Managed Postgres in ClickHouse Cloud, enabling users to query Postgres and ClickHouse together in plain English. The service allo…
ClickStack reworked its observability schemas using a benchmark-driven process that combined primary key redesign, text indexes, query rewrites, materialized views, and new ClickHouse features, reducing representative qu…
Inkeep, an AI agent framework provider, integrated SigNoz for observability to give developers visibility into agent execution flows. The framework uses SigNoz's REST-based Trace API to enable programmatic querying of tr…
Software engineers are moving beyond single-agent autonomy ladders to a two-axis framework of agency and orchestration, as multi-agent systems become mainstream. Products like Claude Code and Codex now support parallel a…
Cockroach Labs CEO Spencer Kimball unveiled a vision for agentic AI infrastructure at RoachFest London 2026, announcing CockroachDB's four composable layers including virtual clusters and AI operations teams. Form3 VP Ke…
SaaS product teams evaluating embedded analytics now face a newer option: MCP analytics, which exposes governed data to AI agents rather than rendering dashboards for humans. Embedded analytics delivers visual dashboards…
Building an in-house analytics MCP server for customer AI agents may seem cheap initially but incurs hidden costs in multi-tenant isolation, identity propagation, governed metrics, observability, and protocol maintenance…
SaaS products are adopting analytics MCP servers to expose customer data to AI agents via the Model Context Protocol, enabling use cases like in-product copilots, customer-owned agents, automated workflows, and partner i…
SaaS products are shifting from embedding dashboards for human users to exposing customer-facing MCP servers that AI agents can query directly, driven by customer demand for agent-native data access. This transition intr…
An analytics MCP server is an endpoint that lets AI agents query a product's data through the Model Context Protocol, returning governed, permission-scoped answers instead of raw table access. It differs from embedded da…
Pydantic Logfire and other observability platforms are shipping MCP servers, CLIs, and SDKs that allow AI agents to directly inspect traces, logs, prompts, evals, and dashboards, shifting the focus from human-friendly UI…