DEPLOYDatabase

Chip comparison

NVIDIA Jetson AGX Thor vs NVIDIA L40S

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 ThorNVIDIA L40S
Process nodeTSMC 4NPTSMC 4N
Transistors (B)76.3
TDP130 W350 W
Memory128 GB LPDDR5X48 GB GDDR6
Memory bandwidth273 GB/s864 GB/s
FP16 (dense)362 TFLOPS
BF16 (dense)362 TFLOPS
FP8 (dense)2,070 TFLOPS733 TFLOPS
INT8 (dense)2,070 TOPS733 TOPS
Form factorModule (AGX Thor)PCIe
Announced2024-03-182023-08-08
Released2025-08-01

Robots running NVIDIA Jetson AGX Thor

Robots running NVIDIA L40S

No robots publicly running it yet.

Data centers with NVIDIA Jetson AGX Thor

No data centers publicly running it yet.

Data centers with NVIDIA L40S

No data centers publicly running it yet.

Common questions

NVIDIA Jetson AGX Thor vs NVIDIA L40S: which is faster for training?

NVIDIA Jetson AGX Thor has 2.82x the dense FP8 throughput of the other (NVIDIA Jetson AGX Thor: 2,070 TFLOPS; NVIDIA L40S: 733 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

NVIDIA Jetson AGX Thor vs NVIDIA L40S: which has more memory?

NVIDIA Jetson AGX Thor carries more HBM (NVIDIA Jetson AGX Thor: 128 GB LPDDR5X; NVIDIA L40S: 48 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA Jetson AGX Thor vs NVIDIA L40S: which is more power-efficient?

Dense FP8 TFLOPS per watt: NVIDIA Jetson AGX Thor 15.92 (2,070 ÷ 130 W); NVIDIA L40S 2.09 (733 ÷ 350 W). NVIDIA Jetson AGX Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.

NVIDIA Jetson AGX Thor vs NVIDIA L40S: which is more widely used?

NVIDIA Jetson AGX Thor: 11 robots and 0 data centers publicly running it. NVIDIA L40S: 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 Thor full page · NVIDIA L40S full page.