Step-by-step guides for running Google's Gemma 4 locally on your own hardware
Confidential and open LLM inference for agents, paid per request in USDC
Stage
Established
Not given
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Free
Paid
Pricing
Not given
LLM inference: Models priced per million tokens input and output, ranging from $0.043 to $3.63 for input and $0.22 to $18.15 for output (e.g., Qwen3.8 27B route C: $0.043/$1.375, Kimi K3 route B: $3.63/$18.15). Virtual machines: Starter $0.159-$0.169/hour, Standard $0.318-$0.335/hour, Pro $0.636-$0.
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
Attested confidential model execution on Intel TDX hardware
Open tier LLM inference without attestation
Price shown before model execution
No account or API key required
Virtual machines for AI swarms by the hour
Phone numbers and calling with metered pricing
Email inboxes with sending allowances
Access via HTTP without signup
416 open source models available
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
Encrypted memory and disk in processor with no company access to keys
Price transparent and settled before request execution
No account signup, payment via wallet address
Automatic enforcement of calling and messaging consent rules
Gemma4All
Agentgates