Highly-efficient billion-scale AI models training and inference using affordable GPUs

ZeRO-Offload and Sentinel for transformers

DyNN-Offload for Mixture-of-Experts (MoE)

TECO-Offload on disaggregated memory

Billion-scale graph neural network

AI training based on parallelism management

Runtime Concurrency Control and Operation Scheduling

Tree structure-aware high performance inference engine

AI training using novel hardware

Energy-efficient training on GPU-FPGA accelerators

Processing-in-memory for energy-efficient DNN