NVIDIA Jetson Thor
2,560
CUDA Cores
128GB
VRAM
273
GB/s
Technical Specifications
2,560
CUDA Cores
1570
Base MHz
1570
Boost MHz
128GB LPDDR5X
256-bit bus
Performance
15
FP32 TFLOPS
80
FP16 TFLOPS
130W
TDP
Cloud Availability
0
Available Instances
$0.00/hr
Starting Price
Detailed Specifications
| Architecture | Blackwell (Unknown) |
| Release Date | 2024-01-15 |
| Launch Price | $3,499.00 |
| Process | 4nm |
| Transistors | 100B |
AI Features
Gen 5
Tensor Cores
Enabled
Transformer Engine
Supported
Flash Attention
Physical Specifications
Dimensions
9.57in
Length
4.42in
Width
2.24in
Height
About Jetson Thor GPU
The NVIDIA Jetson Thor is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 128GB of VRAM and 2,560 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2024, the Jetson Thor features Blackwell architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.
When considering cloud rental options for the Jetson Thor, pricing starts at $0.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 273 GB/s enabling fast data transfer for large datasets.
The Jetson Thor features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 4nm manufacturing process ensures efficient power consumption relative to performance output.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Top GPUs for Training and Inference
| Category | Rank 1 | Rank 2 | Rank 3 |
|---|---|---|---|
| Best for Training | NVIDIA H200 | NVIDIA H100 | NVIDIA B200 |
| Best for Inference | NVIDIA A40 | NVIDIA A100 | NVIDIA A10 |
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