Intelligence Unbound.
Inference Unleashed.
Run 70B parameter models natively on consumer edge devices. Zero cloud dependencies. Zero privacy compromises. Experience the Quantized Labs.
// 1. Install: npm i @quantized_labs/engine
import { QuantizedLabs } from '@quantized_labs/engine';
// 2. Load the optimized 2-bit artifact directly into CPU/NPU
const model = await QuantizedLabs.load('llama3-8b.quantized');
// 3. Generate offline with zero latency
const res = await model.generate("Explain AER routing.");Llama-3-70B Real-World Performance
Trusted by Deep-Tech Pioneers
Kill Your Cloud Bill. Keep Your Intelligence.
Every time a user prompts your AI, you pay AWS or OpenAI. Stop bleeding compute costs. By mathematically compressing frontier models and shifting execution to the client's local hardware, the Quantized Labs permanently severs your reliance on API subscriptions.
The Distillation Pipeline
From a 150GB cloud-locked model to a 10MB mobile payload in three steps.
Ingestion
Upload your massive, uncompressed `.safetensors` model to our secure MCaaS ingestion cluster.
Asymmetric Distillation
Our proprietary H100 cluster identifies critical cognitive pathways and safely prunes redundant parameter branches.
Edge Deployment
Download the compiled `.quantized` binary. Drop it into your iOS, Android, or IoT app using our SDK.
Zero Network Latency
No network round-trips, no AWS server downtime, no API rate limits. Deliver real-time, instant generation to your users even in airplane mode.
Absolute Privacy
No data ever leaves the device. Complete air-gapped security suitable for defense, healthcare, and enterprise IP. HIPAA & SOC2 Ready.
CPU-Native Architecture
No GPU required. Our architecture replaces floating-point math with highly-optimized execution kernels, enabling extreme speed directly on standard CPUs. Universal hardware support.
The Quantized Labs Advantage
We aren't just running existing code—we've mathematically restructured how AI models execute on hardware, protected by our pending patents.
Cognitive Pathway Preservation
Traditional compression ruins AI intelligence. Instead of simply deleting data, our algorithm isolates the critical "thinking pathways" of the AI and safely folds the rest. The result? A massive AI shrinks down to the size of a mobile app while staying exactly as smart as the original.
Symbiotic Inference Engine
We bypassed the massive bloated systems built by Google and Apple. We built a custom execution engine from scratch in Rust that speaks directly to the microchip inside the phone. The result? Extreme battery efficiency and blazing fast speeds on consumer hardware.
Built by the Engineers who Pioneered Modern AI
Dr. Aris Thorne
Pioneered early non-linear quantization techniques for AlphaFold. Holds 14 patents in dynamic hardware routing and low-level matrix math architectures.
Dr. Elena Rostova
Former lead architect on the TensorRT core compiler team. Left to solve the memory-bandwidth limits of Edge NPUs using Asymmetric Entropy flows.