Step-by-step guides for running Google's Gemma 4 locally on your own hardware
Cloud sandbox for AI agents with 94% lower cost than most providers
Stage
Established
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Founded
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Based in
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Pricing model
Free
Paid
Pricing
Not given
Standard sandbox: $0.80 per vCPU, $0.70 per GB RAM, $0.09 per GB disk per 730-hour month, metered by the minute. Example: 2 vCPU 4 GB with 4 GB disk costs $4.76/month if running continuously. Idle disk alone costs $0.36/month for 4 GB. VM sandbox costs 2.5x compute rate. New accounts get $5 starter
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
Per-minute billing for compute, disk storage metered monthly
Persistent file storage with automatic backups
Auto-sleep to pause compute charges when idle
Kernel-enforced isolation via gVisor
Docker container support
Outbound internet access only, firewalled per sandbox
Scheduled runs with cron
Support for multiple AI models and custom keys
Public HTTPS URLs and custom domain support
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
94% lower cost than most sandbox providers
No subscription fees, plan fees, or minimum commitments
Compute billing stops when sandbox sleeps or stops
Data never collected for training, SOC 2 Type I compliant
Gemma4All
Agent 37