NVIDIA Jetson AGX Orin 64GB vs NVIDIA A10G 24GB
The A10G delivers 63% more FP16 throughput than the Jetson AGX Orin (70 vs 43 TFLOPS dense). The Jetson AGX Orin counters with 40 GB more memory (64 GB vs 24 GB).
NVIDIA Jetson AGX Orin 64GB
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 Jetson AGX Orin'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 Jetson AGX Orin against the A10G: FP32 5.3 vs 35 TFLOPS, FP16 43 vs 70 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 64 GB against 24 GB, fed at 205 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 60 W for the Jetson AGX Orin and 300 W for the A10G. At FP32 that works out to 0.09 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 Jetson AGX Orin faster than the A10G?
At FP16 precision the A10G reaches 70 TFLOPS dense against 43 TFLOPS for the Jetson AGX Orin. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the Jetson AGX Orin or the A10G?
The Jetson AGX Orin carries 64 GB of VRAM versus 24 GB for the A10G. Memory bandwidth is 205 GB/s for the Jetson AGX Orin and 600 GB/s for the A10G.
How much power do the Jetson AGX Orin and the A10G draw?
The Jetson AGX Orin is rated at 60 W TDP and the A10G at 300 W. On FP32 throughput per watt, the A10G is the more efficient part.
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