Huawei Atlas 300V vs Huawei Atlas 300V Pro
The Atlas 300V Pro delivers 40% more FP16 throughput than the Atlas 300V (70 vs 50 TFLOPS dense). The Atlas 300V Pro also carries 24 GB more memory (48 GB vs 24 GB).
Huawei Atlas 300V
Full specs →Huawei Atlas 300V Pro
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2022: the Atlas 300V on Da Vinci and the Atlas 300V Pro on Da Vinci.
Dense throughput for the Atlas 300V against the Atlas 300V Pro: FP16 50 vs 70 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 24 GB against 48 GB, fed at 205 GB/s versus 205 GB/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 Atlas 300V faster than the Atlas 300V Pro?
At FP16 precision the Atlas 300V Pro reaches 70 TFLOPS dense against 50 TFLOPS for the Atlas 300V. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the Atlas 300V or the Atlas 300V Pro?
The Atlas 300V Pro carries 48 GB of memory versus 24 GB for the Atlas 300V. Memory bandwidth is 205 GB/s for the Atlas 300V and 205 GB/s for the Atlas 300V Pro.
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