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Chip comparison

NVIDIA A10 Tensor Core GPU vs NVIDIA Jetson AGX Orin

Side-by-side specs

Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.

FieldNVIDIA A10 Tensor Core GPUNVIDIA Jetson AGX Orin
Process nodeSamsung 8NSamsung 8N
Transistors (B)28.3
Die size628 mm²
TDP150 W60 W
Memory24 GB GDDR664 GB LPDDR5
Memory bandwidth600 GB/s204.8 GB/s
FP16 (dense)125 TFLOPS
BF16 (dense)125 TFLOPS
INT8 (dense)250 TOPS275 TOPS
Form factorPCIeModule (AGX Orin 64GB)
Announced2021-04-122022-03-22
Released2021-04-122022-07-01

Robots running NVIDIA A10 Tensor Core GPU

No robots publicly running it yet.

Data centers with NVIDIA A10 Tensor Core GPU

No data centers publicly running it yet.

Data centers with NVIDIA Jetson AGX Orin

No data centers publicly running it yet.

Common questions

NVIDIA A10 Tensor Core GPU vs NVIDIA Jetson AGX Orin: which has more memory?

NVIDIA Jetson AGX Orin carries more HBM (NVIDIA A10 Tensor Core GPU: 24 GB GDDR6; NVIDIA Jetson AGX Orin: 64 GB LPDDR5). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA A10 Tensor Core GPU vs NVIDIA Jetson AGX Orin: which is more widely used?

NVIDIA A10 Tensor Core GPU: 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX Orin: 9 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · NVIDIA A10 Tensor Core GPU full page · NVIDIA Jetson AGX Orin full page.