OmniInfer
33KB. 7B parameter inference. Data never leaves. Because it can't — there's no network code.
The Problem
Organizations need LLM capabilities but cannot send sensitive data to cloud APIs. Healthcare records through OpenAI violate HIPAA. Legal documents through Azure AI risk breach. The alternative — running PyTorch locally — requires 2GB+ of runtime with hundreds of pip dependencies, each a potential vulnerability.
The Solution
OmniInfer runs 7B parameter LLM inference in a 33KB binary that does not contain networking code. Data exfiltration is not a policy decision — it is a physical impossibility. The binary does not know how to open a socket because the code for sockets does not exist in the 33KB.
Why Bare-Metal Matters
The security guarantee is architectural, not configurational. There is no firewall rule to misconfigure, no environment variable to leak, no dependency that phones home. The binary physically cannot transmit data because it was compiled without network syscalls. This is provable by static analysis of the 33KB binary.
Technical Specifications
| Feature | Value |
|---|---|
| Binary Size | 33KB |
| Model Support | 7B parameter LLMs (GGUF Q4_K/Q6_K) |
| Networking | None — physically cannot exfiltrate |
| Dependencies | None |
| Runtime | None (no Python, no PyTorch) |
| Compute | CPU-only (SSE2/AVX2) |
| Architecture | 28-layer transformer inference |
Comparison
| OmniInfer | OpenAI API | Python + PyTorch | |
|---|---|---|---|
| Size | 33KB | Cloud service | 2GB+ runtime |
| Data leaves server | Impossible (no network code) | Always (API calls) | Possible (pip packages) |
| Dependencies | None | Internet + API key | Python + CUDA + PyTorch + ... |
| HIPAA compliant | Inherent | BAA required | Depends on deployment |
| Offline operation | Yes (only mode) | No | Yes |
| Supply chain CVEs | 0 | N/A (cloud) | Hundreds (pip) |
Use Cases
Healthcare AI (HIPAA)
Process patient records with LLM intelligence on local servers. HIPAA compliance is inherent — the binary cannot send data anywhere because it has no networking capability.
Legal Document Analysis
Analyze contracts and legal documents without data leaving the firm. Attorney-client privilege is maintained by architecture, not policy.
Financial Risk Analysis
Run AI analysis on financial data without exposing it to third-party APIs. Regulatory compliance is built into the binary.