DRAGONX FOR SOFTWARE
Revolutionary Tensor Program & HPC Optimization
We've created a breakthrough approach to optimizing tensor programs and HPC workloads, delivering unprecedented performance gains through intelligent compilation and automated optimization
AI-Driven Optimization
Machine learning guides our compiler to find optimal solutions automatically
2-5x Performance
Unprecedented speedups on tensor operations and HPC kernels
Zero Manual Tuning
Automated optimization eliminates the need for manual performance tuning
Revolutionary Optimization Techniques
Our breakthrough approach combines advanced compiler techniques with machine learning to achieve unprecedented performance on computational workloads
Tensor Program Optimization
Revolutionary approach to optimizing deep learning computations
Core Techniques
Key Benefits
Transformative Benefits for Our Clients
Our clients experience dramatic improvements in performance, development speed, and operational efficiency through our advanced optimization platform
Performance Breakthrough
Achieve 2-5x performance improvements on tensor operations and HPC kernels through our revolutionary optimization techniques
Faster Time-to-Market
Eliminate months of manual optimization work with our automated compiler stack that delivers optimal performance out-of-the-box
Hardware Agnostic
Write once, optimize everywhere. Our compiler automatically adapts to different hardware architectures for maximum portability
Resource Efficiency
Dramatically reduce computational costs and energy consumption through intelligent memory management and computation optimization
Benchmark Results: DragonX vs Traditional Frameworks
Real-world performance comparisons showing DragonX's superior optimization capabilities across leading deep learning models and hardware platforms
RTX A5000 Performance Results
ResNet-50
MobileNet-v2
R3d-18
DCGAN
ViT-B/32
LLaMA
A10G Performance Results
ResNet-50
GeoMean
Average Improvement
Xavier NX Edge Performance
Edge Optimization Excellence
DragonX demonstrates exceptional performance on edge devices, delivering significant speedups over traditional frameworks even with limited compute resources.
Key Results
Key Performance Insights
Consistent Superiority
DragonX outperforms both PyTorch and TensorFlow across all tested models and hardware platforms
Hardware Agnostic
Superior performance maintained from high-end GPUs to edge devices without code changes
Model Versatility
Excellent results across diverse architectures: CNNs, Vision Transformers, GANs, and LLMs
Proven Success Across Industries
Our optimization platform delivers exceptional results across diverse computational domains
Deep Learning Training
Accelerate neural network training with optimized tensor operations
Key Applications:
Scientific Computing
Optimize computational fluid dynamics, molecular dynamics, and simulation workloads
Key Applications:
Financial Analytics
Accelerate quantitative analysis, risk modeling, and algorithmic trading
Key Applications:
Data Analytics
Optimize large-scale data processing and machine learning pipelines
Key Applications:
The Science Behind Our Breakthrough
Our revolutionary approach combines cutting-edge compiler research with machine learning to automatically discover optimal computational strategies that were previously impossible to achieve manually.
Advanced Compilation
Multi-level IR with polyhedral optimization and machine learning-guided transformations
Intelligent Scheduling
Auto-scheduling algorithms that learn optimal execution patterns for diverse hardware
Memory Optimization
Advanced memory layout transformations and bandwidth optimization techniques