NVIDIA A800 PCIe 80GB vs NVIDIA Jetson Orin NX 16GB
The A800 delivers 8.1x the FP32 throughput of the Jetson Orin NX (20 vs 2.4 TFLOPS dense). The A800 also carries 64 GB more memory (80 GB vs 16 GB).
NVIDIA A800 PCIe 80GB
Full specs →NVIDIA Jetson Orin NX 16GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2022: the A800 on Ampere and the Jetson Orin NX on Ampere.
Dense throughput for the A800 against the Jetson Orin NX: FP32 20 vs 2.4 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 80 GB against 16 GB, fed at 1.9 TB/s versus 102 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 A800 and 40 W for the Jetson Orin NX. At FP32 that works out to 0.07 against 0.06 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 A800 faster than the Jetson Orin NX?
At FP32 precision the A800 reaches 20 TFLOPS dense against 2.4 TFLOPS for the Jetson Orin NX. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the A800 or the Jetson Orin NX?
The A800 carries 80 GB of memory versus 16 GB for the Jetson Orin NX. Memory bandwidth is 1.9 TB/s for the A800 and 102 GB/s for the Jetson Orin NX.
How much power do the A800 and the Jetson Orin NX draw?
The A800 is rated at 300 W TDP and the Jetson Orin NX at 40 W. On FP32 throughput per watt, the A800 is the more efficient part.
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