NachoPeinador/FRUGAL_AI_CHIP
FrugalAI Chip: Modular silicon architecture for disposable AI. Achieves 10.9× better CAPEX efficiency using 28nm chiplets + algorithmic decomposition. Validated: +4.8% accuracy, -91% carbon, 21.47× transformer speedup.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/NachoPeinador/FRUGAL_AI_CHIP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
openvinotoolkit/nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
huggingface/optimum
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers...
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
huggingface/optimum-intel
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
eole-nlp/eole
Open language modeling toolkit based on PyTorch