NVIDIA Jetson AGX Thor T5000 128GB vs NVIDIA DGX Spark
Side-by-side specifications, performance, and rental pricing for datacenter AI workloads.
NVIDIA Jetson AGX Thor T5000 128GB
Full specs →NVIDIA DGX Spark
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2025: the Jetson AGX Thor on Blackwell and the DGX Spark on Grace Blackwell.
Memory is 128 GB against 128 GB, fed at 273 GB/s versus 273 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.
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
Which has more memory, the Jetson AGX Thor or the DGX Spark?
Both GPUs carry 128 GB of VRAM. Memory bandwidth is 273 GB/s for the Jetson AGX Thor and 273 GB/s for the DGX Spark.
How much power do the Jetson AGX Thor and the DGX Spark draw?
The Jetson AGX Thor is rated at 130 W TDP and the DGX Spark at 140 W. On FP32 throughput per watt, the Jetson AGX Thor is the more efficient part.
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