A newer version of the Streamlit SDK is available: 1.58.0
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title: Cubic
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sdk: streamlit
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Cubic — AI and Cybersecurity Research
Building accessible AI systems that run on consumer hardware. Our projects focus on CPU-first training, open-source research, and practical deployment. ## Key Metrics - 27 models — 1 research paper — 3 team members - $0.004 min training cost — 100% open source ## Research Focus - AI Development — CPU-first architectures and open-source models - Cybersecurity — AI-powered security tools and threat detection ## Projects ### AXL — CPU-First Code Generation - 27 models from 566K to 318M parameters - Training cost: $0.004 per model on consumer CPU - Architecture: Multi-scale byte-level transformer - License: Apache 2.0 - Click the project card on the org page to see the full AXL detail page ## Team - Kennedy: CEO & Head of AI Research - Jasser: CTO & Head of Cybersecurity - Taem: Head of Marketing/Sales/Technical Assist ## Interactive Tools The org card includes two live calculators, grounded in AXL's real published numbers: - Memory Usage Estimator — total estimated RAM from weights (at your chosen quantization) plus KV-cache overhead - Inference Speed Calculator — estimated CPU tokens/sec by parameter count and thread count ## Key Features - Dark/Light theme toggle - Two live calculators (memory & inference speed) - Print-friendly CSS - Responsive design ## Links - GitHub - HuggingFace
CPU-first, AI for everyone.