NVIDIA A16 16GB vs NVIDIA GeForce RTX 3090 24GB
The GeForce RTX 3090 delivers 4.0x the FP16 throughput of the A16 (71 vs 18 TFLOPS dense). The GeForce RTX 3090 also carries 8 GB more memory (24 GB vs 16 GB).
NVIDIA A16 16GB
Full specs →NVIDIA GeForce RTX 3090 24GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The A16 is the newer part: Ampere, launched in 2021, against the GeForce RTX 3090's Ampere from 2020. 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 A16 against the GeForce RTX 3090: FP32 4.5 vs 36 TFLOPS, FP16 18 vs 71 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 16 GB against 24 GB, fed at 200 GB/s versus 936 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 GeForce RTX 3090?
At FP16 precision the GeForce RTX 3090 reaches 71 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 GeForce RTX 3090?
The GeForce RTX 3090 carries 24 GB of memory versus 16 GB for the A16. Memory bandwidth is 200 GB/s for the A16 and 936 GB/s for the GeForce RTX 3090.
Can I rent the A16 or the GeForce RTX 3090 in the cloud?
Yes. Live cloud listings tracked by Flopper start at $0.11 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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