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Huawei Ascend 310 vs Huawei Atlas 300I Duo 48GB

The Atlas 300I Duo delivers 17.5x the FP16 throughput of the Ascend 310 (140 vs 8 TFLOPS dense).

Ascend 310: Da Vinci, 2018 Atlas 300I Duo: Da Vinci, 2022
FP16 dense lead
17.5x
Atlas 300I Duo: 140 vs 8 TFLOPS
TDP
8 W vs 150 W
Ascend 310 draws 142 W less

Specifications

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Ascend 310
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Atlas 300I Duo
Architecture
Da VinciDa Vinci
Launch Year
20182022
Form Factor
SoCPCIe
Memory
—48 GB
Memory Bandwidth
—408 GB/s
TDP
8 W150 W
Process Node
12nm—

Performance (TFLOPS)

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Ascend 310
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Atlas 300I Duo
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
8 TFLOPS 140 TFLOPS
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
16 TOPS 280 TOPS

FLOPS by Precision

What actually differs

The Atlas 300I Duo is the newer part: Da Vinci, launched in 2022, against the Ascend 310's Da Vinci from 2018. 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 Ascend 310 against the Atlas 300I Duo: FP16 8 vs 140 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

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 310 faster than the Atlas 300I Duo?

At FP16 precision the Atlas 300I Duo reaches 140 TFLOPS dense against 8 TFLOPS for the Ascend 310. The performance table on this page lists every published precision for both GPUs.

How much power do the Ascend 310 and the Atlas 300I Duo draw?

The Ascend 310 is rated at 8 W TDP and the Atlas 300I Duo at 150 W.

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