Huawei Ascend 950PR vs Huawei Ascend 950DT
The Ascend 950DT delivers 3% more FP8 throughput than the Ascend 950PR (1,034 vs 1,000 TFLOPS dense). The Ascend 950DT also carries 16 GB more memory (144 GB vs 128 GB).
Huawei Ascend 950PR
Full specs →Huawei Ascend 950DT
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2026: the Ascend 950PR on Da Vinci v3 and the Ascend 950DT on Da Vinci v3.
Dense throughput for the Ascend 950PR against the Ascend 950DT: FP16 500 vs 547 TFLOPS, FP8 1,000 vs 1,034 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 128 GB against 144 GB, fed at 1.6 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.
Frequently asked questions
Is the Ascend 950PR faster than the Ascend 950DT?
At FP8 precision the Ascend 950DT reaches 1,034 TFLOPS dense against 1,000 TFLOPS for the Ascend 950PR. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the Ascend 950PR or the Ascend 950DT?
The Ascend 950DT carries 144 GB of memory versus 128 GB for the Ascend 950PR. Memory bandwidth is 1.6 TB/s for the Ascend 950PR and 4.0 TB/s for the Ascend 950DT.
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