Transformer Architecture
Explore the revolutionary architecture powering modern Large Language Models. Our models are built on optimized transformer designs with custom enhancements for security, code generation, and educational applications.
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Core Components
Understanding the building blocks that make transformer models powerful
Data Pipeline
Secure ingestion of training datasets with preprocessing, tokenization, and quality validation.
Training Infrastructure
Distributed GPU clusters with optimized transformer training, gradient checkpointing, and mixed precision.
Model Architecture
Custom transformer layers with multi-head attention, feed-forward networks, and layer normalization.
Inference Engine
High-performance inference with KV-caching, batched processing, and low-latency response generation.
Security Layer
Real-time threat detection, input validation, output filtering, and vulnerability scanning.
API Gateway
Secure endpoints with rate limiting, authentication, and seamless integration for applications.
Model Specifications
Each model is optimized for specific use cases with carefully tuned architectures
Nexula-AIBOM-8B
Zyora-BYTE-32B
Zyora-DEV-32B
How Our Pipeline Works
Data Ingestion & Preprocessing
Raw datasets are securely ingested, cleaned, and tokenized. Quality validation ensures only high-quality data enters training.
Distributed Training
GPU clusters train transformer models with optimized parallelism, gradient checkpointing, and mixed-precision computation.
Security Integration
Trained models pass through security layers for threat detection, input validation rules, and output filtering policies.
Inference & Response
User requests are tokenized, processed through the inference engine with KV-caching, and decoded into secure API responses.
Ready to Use Our Models?
Explore our production-ready AI models built on optimized transformer architectures.