T-Head Zhenwu 810E vs NVIDIA H20 96GB

The Zhenwu 810E is the newer part: Zhenwu, launched in 2026, against the H20's Hopper from 2024. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Memory is 96 GB against 96 GB, fed at 2.7 TB/s versus 4.0 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.