A massive internet outage just disrupted major platforms worldwide, including Spotify, Google Cloud, AWS, Cloudflare, YouTube, and Gmail. The downtime hit critical cloud infrastructure and consumer apps simultaneously, knocking key online services offline.
Reddit just rolled out Reddit Answers, an AI search tool powered by Google's Gemini models on Vertex AI. Instead of digging through endless comment threads, users can ask questions directly and get synthesized summaries with sourced posts, relevant subreddits, and follow-up chat support.
Google Cloud just integrated its Lyria text-to-music model into Vertex AI, making it the first platform covering video, image, speech, and music under one roof. The update also adds camera controls and inpainting to Veo 2, plus 10-second voice cloning in Chirp 3. Enterprise teams can now theoretically generate an entire ad spot from prompts, though most tools remain behind an allowlist.
Anthropic just secured FedRAMP High and DoD Impact Level 2 authorizations for Claude models hosted on Google Cloud’s Vertex AI. This clears the way for federal agencies and defense contractors to deploy Claude 3.7 Sonnet across healthcare, finance, and emergency operations while strictly handling sensitive unclassified data. Anthropic noted this also builds the foundation for higher-security IL5 workloads.
ElevenLabs just launched its voice AI models on Google Cloud Marketplace. Enterprises can now easily pair ElevenLabs' lifelike speech generation with Google's fast Gemini 2.0 Flash model to build real-time conversational agents, localized dubbing, and marketing voiceovers within their existing cloud setup.
McDonald's is rolling out a sweeping AI overhaul across its 43,000 restaurants worldwide. Powered by edge computing from Google Cloud, the system uses connected sensors for predictive kitchen maintenance—including its notoriously broken McFlurry machines—and smart drive-thrus to ease crew stress.
X Games just partnered with Google Cloud to test experimental AI judging at the Aspen 2025 Superpipe competition. Powered by Vertex AI, the system analyzes video footage to calculate airtime and execution difficulty while generating multi-language commentary. Human judges still decide the podium, but live fans will get to see how the AI scores stack up against human eyes.
Google just made Trillium, its sixth-generation TPU, generally available on Google Cloud. The chip powers Google's flagship Gemini 2.0 model, delivering over 4x faster training and up to 3x higher inference throughput compared to the prior-gen TPU v5e. Why it matters: Google is ramping up the pressure on Nvidia by giving developers a massive, cost-effective alternative for training giant models.
Google Cloud just launched AI Agent Space, an enterprise ecosystem program designed to help companies discover, deploy, and co-create custom AI agents. Partners get early tech previews and direct engineering support, with plans to distribute agents via Google Cloud Marketplace. It trails Microsoft's Copilot Studio in catalog size, but marks Google's serious push into agentic workflows.
Magic just announced LTM-2-mini, an ultra-long context model capable of processing 100M tokens—equivalent to roughly 10 million lines of code or 750 novels. The startup claims its sequence-dimension algorithm is 1,000x cheaper per decoded token than Llama 3.1 405B at that context scale, and revealed $320M in new funding alongside a Google Cloud partnership to build supercomputers.
Anthropic just made tool use generally available across the entire Claude 3 model family via its API, Amazon Bedrock, and Google Cloud's Vertex AI. Developers can now connect Claude to external APIs to extract structured data, automate multi-step workflows, and stream tool interactions. Why it matters: It gives Claude the hands and feet needed to act as a true agent, though parallel tool calls aren't supported yet.
Google just rolled out Gemini for Google Cloud, infusing its flagship AI across developer, security, and data tools. Duet AI is now Gemini Code Assist, powered by Gemini 1.5 Pro to analyze entire codebases across GitHub and GitLab, while new assistants streamline cloud architecture and BigQuery workflows.
Hugging Face just partnered with Google Cloud to make training and deploying open-source AI models seamless across Google's infrastructure. Developers can now run Hugging Face models directly inside Vertex AI and Google Kubernetes Engine, with support for Google hardware like TPUs. Why it matters: It bridges the world's biggest open model repository with enterprise cloud infrastructure, giving companies an easier route to build custom AI without proprietary lock-in.
McDonald's just announced a multi-year global partnership with Google Cloud to deploy edge computing and generative AI across thousands of restaurants worldwide. The chain will install Google Distributed Cloud hardware and software locally to power its mobile app and self-service kiosks. Why it matters: running AI right on-site helps keep kitchen and ordering systems fast and resilient without relying purely on remote servers.
Forbes just launched Adelaide, a generative AI search tool powered by Google Cloud's Vertex AI. Built exclusively on the publisher's articles from the past 12 months, it generates conversational answers and personalized recommendations without hallucinating from the wider web. A beta is now live for select visitors.
Google Cloud just introduced new generative AI search capabilities built specifically for healthcare workers to pull patient data across fragmented clinical notes and records in one place. The system directly links back to original internal sources to prevent hallucinations and cut down clerical paperwork. Why it matters: Administrative overload burns out over half of physicians; letting doctors ask plain-language questions across messy files could reclaim hours of clinical time.
Google Cloud and Nvidia just announced the general availability of A3 instances featuring Nvidia H100 GPUs. The partnership also brings Nvidia acceleration to Google's PaxML framework, now accessible via the NGC container registry to streamline massive model training. Why it matters: Cloud teams get serious horsepower to tackle demanding generative AI workloads.
Google Cloud just unveiled its fifth-generation custom TPU chips at Cloud Next, aiming squarely at high AI computing costs. The new processors deliver 2x the training performance per dollar and 2.5x for inferencing versus the previous gen, while letting massive workloads scale across physical clusters to tens of thousands of chips.
Google just expanded its preview of Duet AI across Google Cloud, infusing generative AI into coding, database migration, and security ops ahead of general availability later this year. It now assists with legacy code refactoring, PromQL queries, and BigQuery SQL generation directly inside IDEs and cloud consoles. Why it matters: Google is making sure developers rarely need to leave their flow state or switch tools to get AI assistance.
Google just launched the beta version of SynthID, an imperceptible watermarking tool developed with DeepMind to spot synthetic images generated by Imagen. Instead of altering image quality, it embeds digital markers directly into pixel data that survive filters and compression. It's rolling out first to select Vertex AI customers.
