A high-performance accelerated computing platform for enterprise-level AI training and inference scenarios, providing elastic GPU cluster scheduling, distributed training acceleration, model inference optimization and other core capabilities. Supports mainstream deep learning frameworks, helping enterprises quickly build and deploy AI applications while significantly reducing computing costs.
A self-developed high-performance accelerated computing engine, deeply optimized for AI training and inference scenarios. Supports mixed precision training, operator fusion optimization, memory management optimization and other advanced technologies, delivering extreme large model training and inference efficiency. Compatible with CUDA ecosystem, seamlessly integrates with various AI frameworks.
Smart scheduling algorithms,
millisecond-level resource allocation
Efficient parallel strategies,
linear performance scaling
Deep operator optimization,
ultimate inference performance
Automatic elastic scaling,
pay-as-you-go computing