#AI infrastructure

'Foxconn will manufacture AI server racks and infrastructure in the US in partnership with OpenAI, aiming to scale production and accelerate deployment of AI data centers.'

'A clear comparison of six agent-native rails showing how MCP, A2A, AP2, ACP, x402, and Kite work together to enable secure tools, agent communication, payment authorization, and settlement.'

'Meta is planning a massive bond sale of up to $30 billion to fund AI data centers and supercomputers, a move that highlights both bold ambition and mounting investor concern.'

'AI agents and easier-to-use AI tools are moving projects from pilots into production, accelerating workflows and freeing employees for higher-value tasks while raising governance and cost challenges.'

'The Bank of England warned that surging AI investments may be inflating into a fragile bubble, urging investors to weigh valuations, infrastructure costs and uneven productivity gains.'

'Enterprises face urgent pressure to adopt AI or risk falling behind; success depends on compute, network, data quality, observability, and talent.'

'The Model Context Protocol aims to become a universal standard that connects LLMs to live enterprise data, reducing fragmentation, latency, and hallucinations while enabling secure agentic workflows.'

Anthropic and Google have introduced protocols MCP and A2A to help AI agents interact more effectively and securely with digital tools and each other, addressing major challenges in AI task automation.

Explore the comprehensive 7-layer framework essential for building real-world autonomous AI agents capable of thinking, acting, and learning effectively in 2025.

Anaconda has achieved a $1.5 billion valuation in its Series C round, emphasizing secure and local AI solutions beyond traditional cloud platforms.

The U.S. White House has released the AI Playbook, outlining a bold strategy to accelerate AI innovation, build critical infrastructure, and lead the global AI race.

Georgian’s latest AI report highlights Vibe Coding as a key AI use case rising rapidly to address talent shortages and boost productivity in enterprise software development worldwide.

The latest AI Applied Benchmark Report by Georgian Partners reveals how Vibe Coding is accelerating AI adoption despite talent shortages, reshaping enterprise software development.

Meta’s $10 billion investment in Scale AI underscores the growing importance of data quality over model sophistication in the AI race, positioning Meta for long-term leadership through data infrastructure control.

DeepSeek-V3 introduces hardware-aware AI design innovations that dramatically improve efficiency and reduce resource requirements, enabling smaller teams to compete with tech giants.

Apple faces significant setbacks in AI development ahead of WWDC 2025, with delayed features and weaker AI models compared to rivals, risking user loyalty.

GridCARE secures $13.5 million to address AI’s growing electricity needs using generative AI to optimize grid capacity and speed up data center buildouts.

AI development is rapidly accelerating, demanding cloud infrastructure to evolve into more flexible, scalable, and integrated systems like supercloud to avoid bottlenecks and enable faster innovation.

NVIDIA has released Parakeet TDT 0.6B, an open-source ASR model that transcribes an hour of audio in just one second while achieving top accuracy benchmarks, setting a new industry standard.

Google's 2025 AI report offers startup founders a practical roadmap to harness AI effectively, emphasizing infrastructure innovations, product usefulness, and sustainable business strategies.