Google Cloud Next 2026 starts today at the Mandalay Bay Convention Center in Las Vegas — and the theme says it all: “The Agentic Cloud.” From April 22 to 24, Google is laying out its vision for enterprise AI. The direction is clear: it’s no longer about building better models. It’s about the infrastructure that autonomous AI agents run on.
TPU v7: Google’s Answer to Nvidia
The hardware headliner is TPU v7. Built on a 3-4nm process, it delivers 4.6 petaflops of FP8 compute. That comes with 192 GB of HBM3E memory and 7.4 TB/s of memory bandwidth. The chips deploy in massive pods of up to 9,216 units — enough for models with 10 trillion parameters.
Here’s the interesting part: Anthropic has signed long-term agreements for up to one million TPUs. Meta has secured multi-billion-dollar capacity as well. Google isn’t just selling cloud services — it’s positioning its TPUs as a real Nvidia alternative for the biggest AI labs in the world.
Gemini 3.2: Bigger Context, Faster Inference
Gemini 3.2 aims to push context windows beyond one million tokens, optimize inference latency, and reduce cloud AI costs for enterprises. Specific benchmarks will likely drop during the conference.
The Real Story: The Operating System for AI Agents
SiliconANGLE puts it bluntly: “This is not a model war. It is a control plane war for how work gets done.” Google wants to build the platform where AI agents are deployed, governed, and monetized — not as features in existing products, but as autonomous systems that take over enterprise workflows.
Workspace Studio is set to play the central role: an environment where agents automate tasks across the Google Workspace ecosystem.
My Take
Google is under pressure. AWS dominates infrastructure, Microsoft has distribution locked through Office and Azure, and startups like Anthropic and OpenAI are setting the bar for developer experience with their own agent frameworks (Claude Code, Codex). The question is whether Google’s cloud infrastructure plus Gemini can deliver the connective layer enterprises need for productive AI agents.
The keynote at 9 AM Pacific should give us answers.
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