NVIDIA GeForce RTX 3050 8GB vs NVIDIA A10G 24GB
The A10G delivers 3.8x the FP16 throughput of the GeForce RTX 3050 (70 vs 18 TFLOPS dense). The A10G also carries 16 GB more memory (24 GB vs 8 GB).
NVIDIA GeForce RTX 3050 8GB
Full specs →NVIDIA A10G 24GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2022: the GeForce RTX 3050 on Ampere and the A10G on Ampere.
Dense throughput for the GeForce RTX 3050 against the A10G: FP32 9.1 vs 35 TFLOPS, FP16 18 vs 70 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 8 GB against 24 GB. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.
Power budgets are 130 W for the GeForce RTX 3050 and 300 W for the A10G. At FP32 that works out to 0.07 against 0.12 TFLOPS per watt.
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 GeForce RTX 3050 faster than the A10G?
At FP16 precision the A10G reaches 70 TFLOPS dense against 18 TFLOPS for the GeForce RTX 3050. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the GeForce RTX 3050 or the A10G?
The A10G carries 24 GB of VRAM versus 8 GB for the GeForce RTX 3050.
How much power do the GeForce RTX 3050 and the A10G draw?
The GeForce RTX 3050 is rated at 130 W TDP and the A10G at 300 W. On FP32 throughput per watt, the A10G is the more efficient part.
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