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Email: cubiclaboratories@gmail.com

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CUBIC
AI · Cybersecurity Research

Accessible AI systems that run on consumer hardware.

CPU-first training, open-source research, and practical deployment — no data center required.

0Models
0Research paper
0Team members
$0Min training cost
0Open source

Research Focus

Projects

AXL — CPU-First Code Generation

27models, 566K–318M params
$0.004training cost / model
Multi-scalebyte-level transformer
Apache 2.0license

> click for the full AXL detail page

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Interactive Tools

Extrapolates from AXL's measured $0.004 per-model cost on consumer CPU.

Total: $0.108

Estimated CPU tokens/sec by parameter count (byte-level transformer, single-thread baseline).

Estimated: — tok/s

File size from parameter count and quantization level.

File size: —

KV-cache memory required for a given context window.

KV-cache: —

Total estimated RAM: weights at your chosen quantization plus KV-cache overhead.

Estimated RAM: —

Backs out training time from the $0.004/model anchor at a given effective hourly CPU rate.

Estimated time: —

Side-by-side comparison of two AXL model sizes.

Team

KennedyCEO & Head of AI Research
JasserCTO & Head of Cybersecurity
TaemHead of Marketing/Sales/Technical Assist

Key Features

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