DEPLOYDatabase

Chip comparison

NVIDIA Jetson AGX Orin vs NVIDIA T4 Tensor Core GPU

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 Jetson AGX OrinNVIDIA T4 Tensor Core GPU
Process nodeSamsung 8NTSMC 12FFN
Transistors (B)13.6
Die size545 mm²
TDP60 W70 W
Memory64 GB LPDDR516 GB GDDR6
Memory bandwidth204.8 GB/s320 GB/s
FP16 (dense)65 TFLOPS
INT8 (dense)275 TOPS130 TOPS
Form factorModule (AGX Orin 64GB)PCIe (single-slot, low-profile)
Announced2022-03-222018-09-13
Released2022-07-012019-01-01

Robots running NVIDIA T4 Tensor Core GPU

No robots publicly running it yet.

Data centers with NVIDIA Jetson AGX Orin

No data centers publicly running it yet.

Data centers with NVIDIA T4 Tensor Core GPU

No data centers publicly running it yet.

Common questions

NVIDIA Jetson AGX Orin vs NVIDIA T4 Tensor Core GPU: which has more memory?

NVIDIA Jetson AGX Orin carries more HBM (NVIDIA Jetson AGX Orin: 64 GB LPDDR5; NVIDIA T4 Tensor Core GPU: 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA Jetson AGX Orin vs NVIDIA T4 Tensor Core GPU: which is more widely used?

NVIDIA Jetson AGX Orin: 9 robots and 0 data centers publicly running it. NVIDIA T4 Tensor Core GPU: 0 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 Jetson AGX Orin full page · NVIDIA T4 Tensor Core GPU full page.