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Gemma 4 26B (announced in a demo by @googlegemma) runs a single orchestrator…

Brief

The @googlegemma demo (published 2026-06-18) shows Gemma 4 26B using one orchestrator to coordinate 10 parallel local agents, achieving 100+ tokens/second. The open-source cookbook demonstrates rapid, concurrent workflows—coding an SVG art gallery, simultaneous translation, ASCII-art generation, and parallel code-writing—run entirely on a user’s machine.

Why it matters

Gemma 4 26B (announced in a demo by @googlegemma) runs a single orchestrator coordinating 10 parallel sub-agents locally on a single machine

Key details

  • The demo achieves over 100 tokens/second throughput and includes out-of-the-box cookbook tasks: generate an SVG art gallery, translate text in parallel, produce ASCII art, and write parallel code; the project is 100% free and open-source (repo linked in the thread)
Source evidence

🚨 One orchestrator. 10 parallel agents. 100+ tokens a second.

All local.

The @googlegemma team just dropped a MASSIVE demo for Gemma 4 26B.

They built a concurrent workflow that lets the 26B model coordinate an entire team of sub-agents on your machine.

Out of the box, the cookbook lets you run 10 parallel agents to:
→ Code an entire SVG art gallery in seconds
→ Translate text simultaneously
→ Generate ASCII art
→ Write parallel code

Spinning up multi-agent systems locally has never looked this fast or this accessible.

100% free and open-source.

repo link in 🧵↓

Video