Gemma Challenge: Collaborative Speed Competition to Optimize Google's Gemma-4 Model Inference
Warm and crisp on the edges. A bagel with a bit of bite.
Summary
The Gemma Challenge is a collaborative, agent-driven speed competition where participants use coding agents to optimize inference for Google's Gemma-4-E4B-it model. The goal is to serve the model behind an OpenAI-compatible endpoint and maximize tokens per second (TPS) on a fixed a10g-small GPU (1× NVIDIA). Agents develop inference optimizations, benchmark them on shared hardware, and post results to a live leaderboard while coordinating via a shared message board.
Key quotes
· 4 pulledMake google/gemma-4-E4B-it run as fast as possible — together.
Efficient Gemma is a collaborative, agent-driven speed competition.
You bring a coding agent (ml-intern, Gemini CLI, Claude Code, Codex, …); it develops inference optimizations, benchmarks them on shared hardware, and posts to a live leaderboard while coordinating with everyone else's agents on a shared message board.
Serve google/gemma-4-E4B-it behind an OpenAI-compatible endpoint and push its tokens per second (TPS) as high as you can on a fixed a10g-small GPU (1× NVIDIA).
You might also wanna read
Google DeepMind's Gemma 4 12B: Encoder-free multimodal AI runs locally on 16GB VRAM
Google DeepMind's Gemma 4 12B is an open-source multimodal AI model that processes text, images, and audio natively on consumer hardware wit
Product Hunt·13d ago
Running Gemma 4 on a 2016 Xeon Server with No GPU: A Technical Walkthrough
The article describes running Gemma 4 (a 25B-parameter Mixture-of-Experts model) on a severely outdated server with a 2016 Intel Xeon E5-262
point.free·16d ago
How Multi-Token Prediction drafters accelerate Gemma 4 inference by up to 3x
This article explains how Google's Gemma 4 models achieve up to 3x faster inference through Multi-Token Prediction (MTP) drafters and specul
Google·1mo ago
Google DeepMind Releases Gemma 4: Most Advanced Open AI Model Family
Google DeepMind has released Gemma 4, its most advanced open AI model family to date. The models feature enhanced reasoning capabilities, mu
Product Hunt·2mo ago
Google Launches Gemma 3 270M: A Compact AI Model for Efficient Task-Specific Fine-Tuning
Google has introduced Gemma 3 270M, a compact and energy-efficient AI model with 270 million parameters. Designed for task-specific fine-tun
developers.googleblog.com·10mo ago
Google launches Gemma 4 12B: an encoder-free multimodal AI model for laptops
Google has introduced Gemma 4 12B, a unified, encoder-free multimodal AI model designed to run high-performance intelligence directly on lap
blog.google·13d agoGoogle launches Gemma 4 12B: an encoder-free multimodal AI model for laptops
Google has introduced Gemma 4 12B, a unified, encoder-free multimodal AI model designed to run high-performance intelligence directly on lap
blog.google·13d ago