NVIDIA H100 Tensor Core GPU

The NVIDIA H100 Tensor Core GPU is a high-performance AI chip whose key architectural feature is interconnect bandwidth: its bidirectional NVLink bandwidth reaches 900G, roughly double the 400G of the restricted-export H800 variant that Chinese labs like DeepSeek have had to engineer around . In inference workloads, the H100 suffers from a memory-bandwidth bottleneck—one Chinese chip startup claims up to 70% of its compute units sit idle waiting on data movement, a gap their 3D-stacked ASIC designs aim to exploit . As of early 2025, ZhenFund's Yusen Dai still judged NVIDIA's chips "the strongest and most efficient choice" for both training and inference, though he noted that fixed-model optimizations on domestic chips like Huawei's Ascend 910B could outperform it on specific workloads .