Microsoft and Nvidia pour $15 billion into AI startup Anthropic, catapulting the company's valuation to a staggering $350 billion and nearly doubling its worth from September as the tech giants secure massive compute deals worth tens of billions.
Nvidia CEO Jensen Huang announces staggering $500 billion in AI chip orders through 2026 while reporting third-quarter earnings showing 56% year-over-year growth, with the company securing major deals including $10 billion with OpenAI and maintaining dominant 90% market share in AI processors.
Arm and Nvidia forge groundbreaking partnership enabling seamless integration between Arm-based Neoverse CPUs and Nvidia AI chips through NVLink Fusion technology, revolutionizing data center infrastructure as major cloud providers develop custom processors optimized for AI workloads.
Google DeepMind launches WeatherNext 2, a revolutionary AI weather model that generates predictions 8 times faster than its predecessor, delivering forecasts in under a minute while outperforming the previous version on 99.9% of variables and integrating across Google's platforms including Search, Maps, and Pixel Weather.
Google commits $40 billion to build massive cloud and AI data centers across Texas through 2027, creating over 1,700 electrical apprenticeships and generating 6,200+ megawatts of new energy capacity including solar power integration.
Snowflake launches search for AI Applied Scientist with salary up to $287,500 to develop code intelligence tools including automated testing, code review assistance, and coding agents that will boost developer productivity for internal teams and customers.
Major enterprises deploy revolutionary hybrid AI infrastructure model that splits artificial intelligence decision-making from deterministic execution, allowing AI agents to analyze and recommend changes while orchestration systems safely implement them with built-in guardrails and compliance controls.
Revolutionary five-step framework eliminates the developer experience-skill paradox by guiding programmers through strategic technology selection, open source leveraging, proper development environments, embracing knowledge gaps, and continuous improvement through multi-channel feedback systems.
Alembic Technologies secures $145M Series B funding with valuation skyrocketing 16-fold as the startup builds an Nvidia Blackwell GPU-powered supercomputer to deliver enterprise causal AI that understands cause-and-effect relationships for regulated industries.
New survey reveals 87% of organizations now use AI services, but nearly one-third lack the security expertise to protect them, with 25% admitting they don't even know what AI services are running in their systems.