NVIDIA Jetson AGX Thor T4000 64GB vs NVIDIA GB200 Grace Blackwell Superchip 372GB
The GB200 delivers 33.3x the FP8 throughput of the Jetson AGX Thor (10,000 vs 300 TFLOPS dense). The GB200 also carries 308 GB more memory (372 GB vs 64 GB).
NVIDIA Jetson AGX Thor T4000 64GB
Full specs →NVIDIA GB200 Grace Blackwell Superchip 372GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The Jetson AGX Thor is the newer part: Blackwell, launched in 2026, against the GB200's Blackwell from 2024. 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 Thor against the GB200: FP32 4.7 vs 160 TFLOPS, FP8 300 vs 10,000 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 64 GB against 372 GB, fed at 273 GB/s versus 16.0 TB/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
Is the Jetson AGX Thor faster than the GB200?
At FP8 precision the GB200 reaches 10,000 TFLOPS dense against 300 TFLOPS for the Jetson AGX Thor. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the Jetson AGX Thor or the GB200?
The GB200 carries 372 GB of memory versus 64 GB for the Jetson AGX Thor. Memory bandwidth is 273 GB/s for the Jetson AGX Thor and 16.0 TB/s for the GB200.
Get Comparison Updates
New GPUs added weekly. Be the first to see how they compare.