Powering the Future of Transformers
Optimize transformer architectures for maximum speed and efficiency in real-world applications.
Join Transformer ResearchEfficient Model Scaling
Develop lightweight transformers that achieve top performance while minimizing compute requirements for edge deployments.
Explore Model ReductionQuantization Techniques
Implement 8-bit and 4-bit quantization methods that maintain 99%+ accuracy with 80% memory reduction on Intel processors.
Access ResearchDistributed Training
Create distributed training frameworks that handle massive transformer models across Intel's multi-GPU systems with minimal latency.
Join the Team
500+
Trained model optimizations
Performance Breakthroughs
"Our transformer optimizations improved inference speed by 4x on Intel hardware—this is AI that scales."
- Wei M., NLP Optimization Lead
"Quantization techniques we developed enabled 99.8% accuracy at 8-bit while reducing training time by 40%."
- Maria G., AI Performance Engineer