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T-Head Zhenwu 810E vs T-Head Zhenwu M890

Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.

Zhenwu 810E: Zhenwu, 2026 Zhenwu M890: Zhenwu, 2026
Memory
96 vs 144 GB
48 GB more for the Zhenwu M890

Specifications

T-Head logo
Zhenwu 810E
T-Head logo
Zhenwu M890
Architecture
ZhenwuZhenwu
Launch Year
20262026
Form Factor
——
Memory
96 GB144 GB
Memory Bandwidth
2.7 TB/s—
TDP
——
Process Node
——

Performance (TFLOPS)

T-Head logo
Zhenwu 810E
T-Head logo
Zhenwu M890
FP64
No verified data available No verified data available
FP32
No verified data available No verified data available
TF32
No verified data available No verified data available
BF16
No verified data available No verified data available
FP16
No verified data available No verified data available
FP8
No verified data available No verified data available
FP6
No verified data available No verified data available
FP4
No verified data available No verified data available
INT8
No verified data available No verified data available

FLOPS by Precision

What actually differs

Both GPUs launched in 2026: the Zhenwu 810E on Zhenwu and the Zhenwu M890 on Zhenwu.

Memory is 96 GB against 144 GB. 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.

Frequently asked questions

Which has more memory, the Zhenwu 810E or the Zhenwu M890?

The Zhenwu M890 carries 144 GB of memory versus 96 GB for the Zhenwu 810E.

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