Step-by-step guides for running Google's Gemma 4 locally on your own hardware
Local AI workstation for private inference with up to 192 GB of unified memory and 32 GB Radeon GPU
Stage
Established
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Founded
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Based in
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Pricing model
Free
Paid
Pricing
Not given
Developer: starting at $5,999 USD (128 GB memory, 2 TB storage). Memory upgrade to 192 GB adds $2,200. Storage upgrade to 4 TB adds $250. Cluster kit $799 per machine. Business pricing available by quote. Worldwide shipping, import duties and taxes outside US included. No sales tax in US.
Key features
Hardware Compatibility Checker tool
Command Generator for Ollama and LM Studio
Model Picker with benchmark-backed reasoning
26+ hands-on deployment guides for various hardware
Memory requirement formulas and quantization analysis
Real-world performance benchmarks on consumer hardware
Offline inference capability
Model comparison with Qwen 3.5
OpenAI-compatible API support
256K context window support
Run DeepSeek V4 Flash and Qwen 27B models
Browser-based setup over encrypted Bluetooth
Private OpenAI-compatible API
Lucebox Mix: run two models simultaneously
Headless Ubuntu Server with pre-installed inference engine
Optional Tailscale integration for remote access
Optional cluster kit with 100 GbE networking
What makes it different
Hands-on testing with verified numbers instead of paraphrased release notes
Concrete metrics from real consumer hardware
Independent, single-author publication with no editorial team or content farm
Interactive tools that deliver instant answers in seconds
Transparent methodology with traceable calculations and cited sources
No per-token billing or cloud dependencies
1.5x faster decode speed than DGX Spark
Hardware and software co-designed for optimal performance
Completely private: runs offline with no cloud proxy
Gemma4All
Lucebox