NVIDIA Jetson Orin Nano Super 8GB vs NVIDIA A40 48GB
Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.
NVIDIA Jetson Orin Nano Super 8GB
Full specs →NVIDIA A40 48GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The Jetson Orin Nano Super is the newer part: Ampere, launched in 2024, 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.
Memory is 8 GB against 48 GB, fed at 102 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
Which has more memory, the Jetson Orin Nano Super or the A40?
The A40 carries 48 GB of VRAM versus 8 GB for the Jetson Orin Nano Super. Memory bandwidth is 102 GB/s for the Jetson Orin Nano Super and 696 GB/s for the A40.
How much power do the Jetson Orin Nano Super and the A40 draw?
The Jetson Orin Nano Super is rated at 25 W TDP and the A40 at 300 W. On FP32 throughput per watt, the A40 is the more efficient part.
Can I rent the Jetson Orin Nano Super 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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