Gemma 4 CPU Only: No GPU Needed, How Slow Is It
Gemma 4 with no GPU: which models fit in 8-64GB RAM, real tokens/sec, and why the MoE 26B model is the CPU sleeper pick.
All Tutorials
Practical, no-fluff guides written for developers and curious tinkerers who want to run local AI without the headaches.
New to Gemma 4?
Start with a hardware check, then pick your setup path.
Gemma 4 with no GPU: which models fit in 8-64GB RAM, real tokens/sec, and why the MoE 26B model is the CPU sleeper pick.
Can the RTX 3060 run Gemma 4? Yes — 12B fits comfortably in 12GB. Real VRAM numbers, tokens/sec, CPU offload, and the 8GB variant caveat.
RTX 3070, 3070 Ti, 3080, and 3080 Ti tested against Gemma 4's memory needs. Faster than a 3060 — but 8GB is more limiting than you'd expect.
Yes, Gemma 4 runs on phones. See which iPhones and Android phones qualify, the official app to use, alternatives, and real speed/battery numbers.
Best mini PCs for Google Gemma 4 in 2026 — a $300 budget box, Mac Mini and Ryzen AI picks, with verified specs, prices, and real tokens/sec.
Google's DiffusionGemma generates text 4x faster via diffusion, not autoregression. Specs, speed numbers, quality trade-offs, and real local setup status.
Gemma 4 12B Coder Fable5 is a free community Python-coding finetune trained on Composer 2.5 traces — what it is, what's different, and how to run it.
Gemma 4 12B vs 26B A4B compared: benchmarks, memory footprint, QAT availability, modalities, and speed — which model actually fits your hardware.
Download Gemma 4 in GGUF, MLX, or safetensors. Verified Hugging Face repos, file sizes, Ollama tags, and license details for every model size.
Gemma 4 DSpark speedup claims hit 60-85% faster inference — here's what's actually verified, what's released today, and what still doesn't exist yet.
Which Gemma 4 model fits your Mac Mini M4 or M4 Pro. A config-by-config memory matrix, realistic tokens/sec, and setup steps for 16GB to 48GB.
Which Mac Studio configuration to buy for Gemma 4's biggest models. Memory matrix for M4 Max and M3 Ultra, real tokens/sec, and an honesty check first.
Which Gemma 4 model actually runs well on a MacBook Air by RAM tier — M1 to M4, real tokens/sec, and why fanless thermal throttling matters.
Gemma 4 on MacBook Pro: from M1 Pro 16GB to M4 Max 128GB, see which model fits each tier, real tokens/sec, and used-market prices before you buy.
Gemma 4 QAT checkpoints cut memory needs by over 50% — the 31B model now runs on a 24GB GPU or Mac at near-BF16 quality. Here's what changed and why.
GLM-5.2 is rising alongside Gemma 4 searches, but it's a 753B MoE coding model — not a local rival. Specs, benchmarks, and memory reality compared.
Complete Gemma 4 benchmark tables: 31B, 26B, 12B and E4B scores across Arena Elo, MMLU Pro, LiveCodeBench, vision and multilingual tests — with sources.
What can Gemma 4 do? A guide to Gemma 4 features and use cases across all five models, from on-device audio to workstation-scale agents.
Build the ultimate budget-friendly local AI assistant: Gemma 4 running through OpenClaw on a Mac Mini. Step-by-step setup guide covering Ollama integration, OpenClaw configuration, multi-channel access, and cost comparison with cloud APIs.
A step-by-step guide to running Google's Gemma 4 as your local AI coding assistant in OpenCode on Mac Mini or Mac Studio. Covers model selection by memory, Ollama setup, OpenCode configuration, and optimization tips for daily use.
Every Gemma 4 vs Qwen 3.5 matchup: E4B vs 4B/9B, 12B vs 9B, 26B A4B vs 35B-A3B, 31B vs 27B — real benchmark scores, memory footprint, and licensing. Updated 2026.
Set up Gemma 4 in LM Studio, including the new 12B model built for 16GB MacBooks. GGUF and MLX downloads, chat setup, and API examples.
Yes, Ollama runs every Gemma 4 model. Exact ollama run gemma4 commands for E4B, 12B, 26B and 31B, RAM needs per size, image input, and API examples.
Gemma 4's five models, including the new 12B, need different hardware. See exact VRAM/RAM needs and which Mac or GPU runs each, per Google's docs.