Core Technology Framework
TGRP has built a three-layer vertical architecture spanning from the hardware foundation to the application layer. Leveraging four core technological strengths, TGRP ensures the ultimate optimization of AI infrastructure performance.
Application Layer
Directly addresses industry pain points, delivering scenario-based AI capabilities.
- Vertical industry models
- Digital twin interfaces
- Automated decision-making systems
- Multimodal interaction interfaces
Model Layer
Efficiently manages the full model lifecycle to achieve an optimal balance between performance and efficiency.
- LLMOps automation framework
- Distributed parallel training
- Mixed-precision computing
- Knowledge distillation and quantization
Compute Layer
Builds rock-solid foundational infrastructure to support ultra-large-scale parameter computing.
- Heterogeneous compute acceleration
- Ultra-low-latency wide-area networking
- High-performance flash storage arrays
- Intelligent thermal monitoring and control systems
Compute Layer Deep Dive: The Physical Foundation for Extreme Performance
Three Core Technological Advantages
Building TGRP’s Technology Moat
Heterogeneous Compute Scheduling
Compatible with chips from all major vendors, enabling unified management and elastic, sliced scheduling across GPUs, NPUs, FPGAs, and other compute types.
Large-Scale Model Training Acceleration
Powered by a proprietary parallel computing framework, reducing communication overhead by 40% and improving compute efficiency by over 60% in ultra-large-parameter model training.
Multi-Scenario Deployment Adaptability
Supports coordinated deployment across cloud, edge, and endpoint environments, ensuring stable model operation under varying power consumption and latency constraints.