
Lovable Signs Google Cloud Deal to 5x Its Infrastructure
Lovable's multiyear Google Cloud pact quintuples its compute footprint and bundles access to both Claude and Gemini - a bet that enterprise credibility is the next growth act.
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Lovable's multiyear Google Cloud pact quintuples its compute footprint and bundles access to both Claude and Gemini - a bet that enterprise credibility is the next growth act.

Alphabet priced an $84.75B equity raise on June 2, reversing a decade of share buybacks to fund a $180-190B AI infrastructure buildout - backed by a $10B bet from Berkshire Hathaway.

Microsoft drops exclusive OpenAI IP rights and ends its revenue-share payments as OpenAI gains freedom to deploy on Google Cloud, AWS, or any provider.

A data-driven comparison of Vantage, CAST AI, ProsperOps, CloudZero, nOps, and Infracost - the top AI-powered platforms for cutting cloud and GPU spend in 2026.

Google commits up to $40 billion to Anthropic alongside five gigawatts of cloud compute, making it the largest single infrastructure bet in AI history.

Google's Virgo Network connects 134K TPU chips at 47 petabits per second using a flat two-layer topology that removes the bandwidth degradation cluster operators have engineered around for years.

A hands-on review of Google's Agent Development Kit - the open-source framework for building multi-agent AI systems, with a look at its strengths, limitations, and how it stacks up against LangGraph and CrewAI.

IBM Research, Red Hat, and Google Cloud donated llm-d to the CNCF at KubeCon EU, giving Kubernetes a production-grade distributed LLM inference framework built on vLLM.

Google's first natively multimodal embedding model maps text, images, video, audio, and PDFs into a single vector space - now in public preview via Gemini API and Vertex AI.

From Claude 101 to MCP Advanced to Agent Skills - Anthropic's free curriculum on Skilljar covers everything from basic prompting to production deployments on AWS Bedrock and Google Vertex AI.

Google Cloud TPU v6e Trillium specs, benchmarks, and pricing. 32GB HBM per chip, ~1,600 GB/s bandwidth, optimized for Transformer training and inference at cloud scale.

Google TPU v7 Ironwood specs, architecture, and performance estimates. Google's next-gen inference-optimized TPU with massive memory per chip, announced at Cloud Next 2025.