AI Infrastructure
All briefings covering ai infrastructure.
Databricks Launches Unity AI Gateway to Govern Every AI Agent You Run
At the Data + AI Summit 2026 in San Francisco, Databricks announced Unity AI Gateway, a unified governance layer that covers every AI asset an enterprise runs whether hosted on Databricks or externally. The platform introduces hard spend caps, real-time content filtering, unified agent tracing across models and MCP servers, and smart routing, giving operators a single place to see and control their entire AI estate. Simultaneously, Databricks unveiled Agent Bricks, its fully featured developer platform for building and operating agents in production.
NVIDIA Releases Open Multimodal AI Agent That Sees, Hears and Reads
NVIDIA launched Nemotron 3 Nano Omni on June 16, 2026, an open-weight multimodal model that combines vision, audio, and language understanding in a single AI agent deployable on local hardware or cloud infrastructure. The model activates just 3 billion of its 30 billion parameters per inference, delivering nine times the throughput efficiency of comparable open multimodal models. Businesses can now deploy a single AI agent that reads documents, transcribes audio, and analyses video without routing data through external cloud providers.
China Plans $295B AI Data Centre Buildout on Domestic Chips
China's National Development and Reform Commission is drafting a blueprint to spend approximately $295 billion over five years on a nationwide network of AI data centres. State-owned carriers China Mobile and China Telecom will operate the infrastructure, with a target of sourcing at least 80 per cent of AI chips and technology from domestic suppliers including Huawei, effectively excluding Nvidia and AMD. The plan signals the formal bifurcation of the global AI computing stack into two separate ecosystems.
MCP Hits 97 Million Installs and Becomes the AI Standard
The Model Context Protocol reached 97 million installs in March 2026, with every major AI provider now shipping MCP-compatible tooling. MCP has become the foundational standard for connecting AI agents to external tools, databases, and APIs. Operators building AI workflows on proprietary integration approaches are creating technical debt that will be expensive to unwind.
Gemini 3.1 Flash-Lite Makes Powerful AI 8x Cheaper to Run
Google launched Gemini 3.1 Flash-Lite on 3 March 2026, pricing it at $0.25 per million input tokens, one-eighth the cost of Gemini 3.1 Pro. The model is 2.5 times faster than its predecessor and outperforms rival efficiency models from OpenAI and Anthropic across most benchmarks. For operators building or buying AI-powered tools, the cost of running capable AI at scale has dropped significantly.
Cisco and NVIDIA Bring Secure AI to the Enterprise Edge
Cisco announced a major expansion of its Secure AI Factory with NVIDIA at GTC 2026 on 17 March, extending AI deployment capabilities from central data centres to edge locations including warehouses, hospitals, and vehicles. The platform compresses enterprise AI deployment timelines from months to weeks, with zero-trust security and agent-level guardrails built in from the start. AT&T is the first service provider to bring these capabilities to market.
NVIDIA GTC 2026: NemoClaw Brings Enterprise AI Agents to Every Business
NVIDIA launched NemoClaw at GTC 2026 today, an open-source platform that lets businesses deploy AI agents without proprietary lock-in. Paired with the Vera Rubin chip platform, which delivers up to 10 times cheaper AI inference than its predecessor, NVIDIA has made a clear push to become the foundational layer for the agentic AI era. For operators, this means the infrastructure for autonomous AI workflows is becoming faster, cheaper, and more accessible.