Huawei Atlas 200I A2 8 TOPS vs Huawei Atlas 300I Duo 96GB
The Atlas 300I Duo delivers 35.0x the FP16 throughput of the Atlas 200I A2 (140 vs 4 TFLOPS dense). The Atlas 300I Duo also carries 92 GB more memory (96 GB vs 4 GB).
Huawei Atlas 200I A2 8 TOPS
Full specs →Huawei Atlas 300I Duo 96GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The Atlas 200I A2 is the newer part: Da Vinci, launched in 2023, against the Atlas 300I Duo's Da Vinci from 2022. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Dense throughput for the Atlas 200I A2 against the Atlas 300I Duo: FP16 4 vs 140 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 4 GB against 96 GB, fed at 26 GB/s versus 408 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 200I A2 faster than the Atlas 300I Duo?
At FP16 precision the Atlas 300I Duo reaches 140 TFLOPS dense against 4 TFLOPS for the Atlas 200I A2. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the Atlas 200I A2 or the Atlas 300I Duo?
The Atlas 300I Duo carries 96 GB of memory versus 4 GB for the Atlas 200I A2. Memory bandwidth is 26 GB/s for the Atlas 200I A2 and 408 GB/s for the Atlas 300I Duo.
How much power do the Atlas 200I A2 and the Atlas 300I Duo draw?
The Atlas 200I A2 is rated at 21 W TDP and the Atlas 300I Duo at 150 W.
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