Step-by-step guides for running Google's Gemma 4 locally on your own hardware
Secure microVM sandboxes for AI agents
Stage
Established
Not given
Founded
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Based in
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Pricing model
Free
Freemium
Pricing
Not given
Free plan: $0/month with $25 included usage and up to 5 running sandboxes. Starter: $20/month with $20 monthly usage and 20 running sandboxes. Pro: $99/month with $110 monthly usage and 100 running sandboxes. Scale: $399/month with $450 monthly usage and 500 running sandboxes. Usage metered at $0.01
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
E2B SDK compatible API gateway
Multiple sandbox sizes (Small, Medium, Large, XL with 1-8 vCPU and 2-16 GiB)
Live terminal and desktop viewing
SSH access with VS Code Remote support
Pause and resume with memory intact
Long-running sandboxes on Pro and Scale plans
Credential vault for secrets management
Egress control with allow and deny lists
Custom Docker images via Dockerfile
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
Direct E2B SDK compatibility without code rewriting
Usage-based billing with included credits, no overages on paused sandboxes
Gemma4All
Anona Compute