vs Moore Threads MTT S80 vs NVIDIA B100 SXM 192GB
The B100 delivers 4.1x the FP32 throughput of the MTT S80 (60 vs 15 TFLOPS dense). The B100 also carries 176 GB more memory (192 GB vs 16 GB).
Moore Threads MTT S80
Full specs →NVIDIA B100 SXM 192GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2024: the MTT S80 on MUSA ChunXiao and the B100 on Blackwell.
Dense throughput for the MTT S80 against the B100: FP32 15 vs 60 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 16 GB against 192 GB, fed at 448 GB/s versus 8.0 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 MTT S80 faster than the B100?
At FP32 precision the B100 reaches 60 TFLOPS dense against 15 TFLOPS for the MTT S80. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the MTT S80 or the B100?
The B100 carries 192 GB of memory versus 16 GB for the MTT S80. Memory bandwidth is 448 GB/s for the MTT S80 and 8.0 TB/s for the B100.
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