NVIDIA Jetson AGX Thor T5000 128GB
Overview
Jetson Thor is the first Blackwell part small enough to bolt to a robot, and the jump over Orin is large enough to be worth the disruption. The T5000 module carries a 2560-core Blackwell GPU with fifth-generation tensor cores rated at 2070 sparse FP4 TFLOPS, or 1035 dense, next to the 275 sparse INT8 TOPS the Jetson AGX Orin managed. Just as important, it has 128 GB of 256-bit LPDDR5X at 273 GB/s, twice the AGX Orin's memory, which is what allows a genuinely large model to run on a mobile platform rather than a small quantised one. The CPU moves to 14 Arm Neoverse-V3AE cores at 2.6 GHz, and the GPU supports MIG, so a single module can be partitioned across several workloads. Power runs to 130 W at the ceiling, which is a real design constraint for anything battery powered. The developer kit is $3,499.
Performance
Peak theoretical throughput by precision type
| Precision | Dense | 2:4 Sparse |
|---|---|---|
FP64 | No verified data available | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
FP32 32-bit floating point | 8.1TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
TF32 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
BF16 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP16 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP8 8-bit floating point | 517TFLOPS | 1,035TFLOPS |
FP6 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP4 4-bit floating point | 1,035TFLOPS | 2,070TFLOPS |
INT8 8-bit integer | 517TOPS | 1,035TOPS |
Per watt divides the dense figure by the 130 W board power. Where only a sparse figure exists, the cell says so.
Specifications
Architecture
Blackwell
Form Factor
Module
Launch Year
2025
Process Node
No verified data available
Memory
128 GB LPDDR5X
Bandwidth
273 GB/s
TDP
130 W
Max Power
130 W
CUDA Cores
2,560
Spec Confidence
Official
Full Specifications
| Compute Engine | |
|---|---|
| CUDA Cores | 2,560 |
| Streaming Multiprocessors | 20 |
| Boost Clock | 1.57 GHz |
| Memory | |
| VRAM | 128 GB |
| Memory Type | LPDDR5X |
| Bandwidth | 273 GB/s |
| Interface Width | 256-bit |
| Power & Thermal | |
| TDP | 130 W |
| Max Board Power | 130 W |
| Enterprise Features | |
| MIG Support | Yes |
| Sparsity | Yes |
| General | |
| Form Factor | Module |
| Architecture | Blackwell |
| Process Node | No verified data available |
| Launch Year | 2025 |
Datasheet & Resources
Flopper Datasheet
NVIDIA Jetson AGX Thor T5000 128GB specifications, generated from our database. Printable.
Vendor product page
NVIDIA documentation for the Jetson AGX Thor T5000 128GB
NVIDIA Jetson Thor Series Modules Data Sheet (DS-11945-001_v1.5)
NVIDIA · 2026-06-01
NVIDIA Developer Documentation
Technical specs, programming guides
Data Provenance
Every figure traced to a source
Primary Source
- Publisher
- NVIDIA
- Published
- 2026-06-01
Data Quality
- Spec confidence
- Official
- Clock basis
- Boost
- Core precisions with figures
- 4 of 9
- Normalization
- All values in TFLOPS
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Frequently Asked Questions
How many TFLOPS does the NVIDIA Jetson AGX Thor have?
The NVIDIA Jetson AGX Thor delivers 8.1 TFLOPS FP32 and 517 TFLOPS FP8 at peak. Flopper does not currently have a verified FP16 throughput figure for it.
What is the power consumption of the NVIDIA Jetson AGX Thor?
The NVIDIA Jetson AGX Thor has a TDP (Thermal Design Power) rating of 130 watts.
How much memory does the NVIDIA Jetson AGX Thor have?
The NVIDIA Jetson AGX Thor is equipped with 128 GB of VRAM with 273 GB/s of memory bandwidth.
What architecture is the NVIDIA Jetson AGX Thor based on?
The NVIDIA Jetson AGX Thor is based on the Blackwell architecture, launched in 2025.
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