AI System

AI System

Providing full-stack deep adaptation and collaborative optimization services from homogeneous/heterogeneous chips to AI frameworks, compilers, runtime, and inference engines

Converting CPU/GPU/TPU/NPU computing power into ultimate training/inference performance.

AI Chip Adaptation

Providing AI chip adaptation and performance tuning services for CPU/GPU/TPU/NPU

AI Drivers & Runtime

Providing hardware instruction set-level driver adaptation and low-overhead runtime services, enabling workloads to achieve stable performance on CPU/GPU/TPU/NPU.

Multi-AI Framework Support

Providing cross-framework adaptation services integrated across multiple AI frameworks including PyTorch, MindSpore, ONNX, llama.cpp, ensuring smooth model operation on XPU.

Multi-Platform Deployment & Optimization

Providing "Cloud-Edge-Device" multi-platform deployment and optimization implementation services with unified performance tuning and resource monitoring

Model & Algorithm Layer Optimization

Providing deep optimization services at model and algorithm layers: reducing model inference latency and improving training efficiency through operator fusion, quantization pruning, dynamic graph compilation, and hardware-aware scheduling

AI Application Development

Providing end-to-end AI application development services: from scenario requirement analysis, data governance, model fine-tuning/self-development, API/microservice encapsulation, to cloud-edge-device one-click deployment and continuous monitoring, delivering production-ready applications that can be directly implemented.