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AI Weekly: Google's TPU Split, Cursor's $60B, and MCP at Scale
Alex Merced · 2026-04-29 · via DEV Community

Week of April 23–29, 2026

This week, Google split its eighth-generation TPU into two specialized chips. SpaceX disclosed rights to acquire Cursor for $60 billion. Google Cloud Next 2026 framed enterprise software around autonomous agents, and the Model Context Protocol moved deeper into production-grade territory.

AI Coding Tools: SpaceX Eyes Cursor at $60B and Google Pushes Agent Platforms

SpaceX announced on April 22 that it has rights to buy AI coding tool Cursor for $60 billion later this year, with an alternative $10 billion partnership option. The move positions Elon Musk's space and AI properties to compete with Anthropic and OpenAI ahead of a planned Wall Street debut. Cursor, made by San Francisco startup Anysphere, has wide distribution to expert software engineers, which is part of what makes it attractive to Musk's company. Read the AP report.

Google Cloud Next 2026 ran April 22–24 in Las Vegas and made coding agents the centerpiece. Google rebranded its AI platform as the Gemini Enterprise Agent Platform, billed as a one-stop shop for autonomous agents with 200+ foundation models and enterprise governance. The platform supports a new Agents CLI that takes agents from creation to production through a single command-line tool. See the announcements.

Cursor 2.0 also gained attention this month for supporting up to eight parallel AI agents working on different sections of a codebase at the same time. Claude Code, meanwhile, now powers GitHub Copilot's enterprise tier with multi-agent coordination that splits large tasks into parallel subtasks. The category leaders are converging on the same pattern: agents that read codebases, plan changes across multiple files, write the code, and run the tests.

AI Processing: Google Splits Its TPU Into Training and Inference Chips

Google Cloud announced on April 22 that its eighth-generation TPU is splitting into two specialized chips. The TPU 8t targets model training and the TPU 8i targets inference. Google reports up to 3x faster AI model training and 80% better performance per dollar over the previous generation, with the ability to link more than 1 million TPUs in a single cluster. Read the TechCrunch coverage.

Google also confirmed a partnership with Nvidia to extend Falcon, the software-based networking technology Google created and open-sourced in 2023 under the Open Compute Project. The work aims to make Nvidia-based systems perform better inside Google Cloud, a notable detente given Google's TPU sales push.

The Nvidia chip rival market is also booming. AI chip startups raised $8.3 billion globally in 2026, according to Dealroom, with Cerebras Systems pulling in $1 billion in February and $500 million rounds going to MatX, Ayar Labs, and Etched. European companies like Axelera and Olix raised rounds north of $200 million. The argument: GPUs were not purpose-designed for AI inference, and novel system architectures bring big savings in energy and cost. See the CNBC report.

Standards & Protocols: MCP Hits Production Scale and Agentic Foundations Mature

The Model Context Protocol crossed a clear adoption threshold this month. MCP downloads now run at roughly 110 million per month across OpenAI, Google, LangChain, and other frameworks, according to a recent Anthropic keynote on the protocol's direction. By Q2 2026, community-built MCP servers exist for GitHub, Slack, PostgreSQL, Stripe, Figma, Docker, Kubernetes, and over 200 other tools. See the Wikipedia summary.

The 2026 MCP roadmap published in March identified four priorities. First is streamable HTTP transport scalability. Second is the Tasks primitive lifecycle, including retry semantics and expiry policies. Third is governance maturation. Fourth is enterprise readiness covering audit trails, SSO-integrated auth, gateway behavior, and configuration portability. Stateful sessions fight with load balancers and horizontal scaling needs better support, so the working groups are evolving the existing transport rather than adding new ones. Read the roadmap.

Google Cloud Next 2026 also gave standards work a public showcase. A breakout session covered "Generative UI for any agent, anywhere: A2UI, AG-UI, MCP Apps, and more." Interoperability between agent UI standards is now part of mainstream cloud roadmaps.

The Agentic AI Foundation launched in December 2025 under the Linux Foundation. Founding contributions came from Anthropic's MCP, OpenAI's AGENTS.md, and Block's Goose. AAIF held its first MCP Dev Summit North America in New York earlier this month, drawing about 1,200 attendees, double the prior event. The next AAIF events are AGNTCon + MCPCon Europe on September 17–18 in Amsterdam and AGNTCon + MCPCon North America on October 22–23 in San Jose.

Resources to Go Further

The AI landscape changes fast. Here are tools and resources to help you keep pace.

Try Dremio Free — Experience agentic analytics and an Apache Iceberg-powered lakehouse. Start your free trial

Learn Agentic AI with Data — Dremio's agentic analytics features let your AI agents query and act on live data. Explore Dremio Agentic AI

Join the Community — Connect with data engineers and AI practitioners building on open standards. Join the Dremio Developer Community

Book: The 2026 Guide to AI-Assisted Development — Covers prompt engineering, agent workflows, MCP, evaluation, security, and career paths. Get it on Amazon

Book: Using AI Agents for Data Engineering and Data Analysis — A practical guide to Claude Code, Google Antigravity, OpenAI Codex, and more. Get it on Amazon