AI in your pocket.
Absolute privacy.

An autonomous, 100% offline Large Language Model housed in a high-speed USB drive. Limited production batches.

Target: $79 USD. No upfront payment required.
1050 MB/s Read/Write Speed
4-Bit GGUF Quantization
8B Params Model Size
8GB Host RAM Req.

Zero Telemetry.
Maximum Security.

Cloud AI models read, store, and train on your private data. PendriveGPT eliminates this vulnerability. Your prompts, documents, and code never leave the local RAM of your host machine.

Macro shot, intricate circuit board, matte black PCB, glowing golden traces
Conceptual 3D art, sleek metallic USB drive resting on obsidian desk, disconnected, geometric energy shield, dark futuristic environment, 8k

No Internet?
No Problem.

Operate in air-gapped environments, on airplanes, or in secure corporate facilities. The inference engine and quantized neural network weights are entirely self-contained.

Beta Tester Log

// FIELD DEPLOYMENT V0.9

"I was skeptical about local inference speeds on a USB drive. PendriveGPT runs a 4-bit quantized model faster than my cloud API calls, with zero latency spikes. An absolute essential for my air-gapped dev environment."

> Marcus T., Lead Systems Architect

"Finally. A model I can feed proprietary legal documents without violating NDAs or triggering telemetry alerts. The fact that it fits on my keyring is just engineering black magic."

> Elena R., Cybersecurity Consultant

"Plug and play across my desktop rig and my travel laptop. No dependencies to install, no internet needed. It literally just works."

> David K., Machine Learning Researcher

Hardware Allocation Process

Manual flashing and calibration restrict distribution to limited batches.

01_WAITLIST

Reserve Spot

Register intent. Position is timestamped in local log.

02_INVITATION

Batch Release

Encrypted purchase links sent sequentially upon calibration.

03_DEPLOYMENT

Global Shipping

Air-gapped hardware shipped with latest stable model.

Take back control of your AI.

BATCH 01 ALLOCATION: 87% CLAIMED

Initialize Sequence ↗