NVIDIA A40 48GB vs NVIDIA A10G 24GB
The A40 delivers 2.1x the FP16 throughput of the A10G (150 vs 70 TFLOPS dense). The A40 also carries 24 GB more memory (48 GB vs 24 GB).
NVIDIA A40 48GB
Full specs →NVIDIA A10G 24GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The A10G is the newer part: Ampere, launched in 2022, against the A40's Ampere from 2021. 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 A40 against the A10G: FP32 37 vs 35 TFLOPS, FP16 150 vs 70 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 48 GB against 24 GB, fed at 696 GB/s versus 600 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.
Power budgets are 300 W for the A40 and 300 W for the A10G. At FP32 that works out to 0.12 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 A40 faster than the A10G?
At FP16 precision the A40 reaches 150 TFLOPS dense against 70 TFLOPS for the A10G. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the A40 or the A10G?
The A40 carries 48 GB of VRAM versus 24 GB for the A10G. Memory bandwidth is 696 GB/s for the A40 and 600 GB/s for the A10G.
How much power do the A40 and the A10G draw?
The A40 is rated at 300 W TDP and the A10G at 300 W. On FP32 throughput per watt, the A40 is the more efficient part.
Can I rent the A40 or the A10G in the cloud?
Yes. Live cloud listings tracked by Flopper start at $0.35 per GPU hour. The rental pricing section on this page lists current providers and rates for both GPUs.
Where to Rent
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