NVIDIA A16 16GB vs NVIDIA A40 48GB
The A40 delivers 8.4x the FP16 throughput of the A16 (150 vs 18 TFLOPS dense). The A40 also carries 32 GB more memory (48 GB vs 16 GB).
NVIDIA A16 16GB
Full specs →NVIDIA A40 48GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2021: the A16 on Ampere and the A40 on Ampere.
Dense throughput for the A16 against the A40: FP32 4.5 vs 37 TFLOPS, FP16 18 vs 150 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 16 GB against 48 GB, fed at 200 GB/s versus 696 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 A16 faster than the A40?
At FP16 precision the A40 reaches 150 TFLOPS dense against 18 TFLOPS for the A16. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the A16 or the A40?
The A40 carries 48 GB of memory versus 16 GB for the A16. Memory bandwidth is 200 GB/s for the A16 and 696 GB/s for the A40.
Can I rent the A16 or the A40 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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