Jetson T4000 for Edge AI — Specs, Sizing & Deployment Fit
Last updated: August 2026
The lower-power entry to the Thor generation: roughly 1200 FP4 TFLOPs and 64 GB in a 40–70 W envelope (vs the T5000’s 40–130 W), at ~$2,999 — the same module price as the AGX Orin 64GB.
Planning Takeaway
The lower-power entry to the Thor generation: roughly 1200 FP4 TFLOPs and 64 GB in a 40–70 W envelope (vs the T5000’s 40–130 W), at ~$2,999 — the same module price as the AGX Orin 64GB. New long-horizon designs should weigh its newer architecture against AGX Orin’s far more mature deployment ecosystem.
Specifications
| Spec | Value |
|---|---|
| Compute | ~1200 FP4 TFLOPS sparse (1536-core Blackwell GPU, 64 fifth-gen Tensor Cores; MIG support) |
| CPU | 12-core Arm Neoverse-V3AE, up to 2.6 GHz |
| Memory | 64 GB 256-bit LPDDR5X, ~273 GB/s |
| Power | 40–70 W configurable (vs 40–130 W on the T5000) |
| Video encode (vendor spec) | Up to 6× 4Kp60 or 24× 1080p60 H.265 |
| Video decode (vendor spec) | Up to 4× 8Kp30 or 10× 4Kp60 H.265 |
| Form factor | Jetson AGX module (100×87 mm, 699-pin) |
| Availability | Orderable since CES 2026 |
| Est. planning capacity | Not yet modeled — EdgeAIStack stream benchmarks pending |
| Software | JetPack 7.2 (Ubuntu 24.04, CUDA 13, June 2026) — current; JetPack 6.x (Ubuntu 22.04) — legacy track |
| Indicative price | ~$2,999 (module, 1KU+, as of mid-2026) |
Sizing Fit
Aimed at generative-capable edge nodes that do not need the T5000’s full 130 W envelope: FP4-quantized mid-size LLMs and VLMs, and future-proofed vision nodes on the Thor software line. EdgeAIStack stream benchmarks for this module are not yet published — sizing below leans on the Thor platform guides.
- Thor platform decision framework — Comparison
- Edge LLM runtime stack — Guide
- Which VLM fits which Jetson — Guide
Decision Framework
Choose the Thor T4000 if:
- You want the Thor generation (NVFP4, current software line) without the T5000’s power and price.
- Your roadmap includes FP4-quantized generative models that AGX Orin’s Ampere silicon cannot accelerate.
- You are designing new hardware anyway, so AGX Orin’s carrier/thermal maturity matters less.
Choose a sibling instead if:
- Jetson AGX Orin 64GB — you deploy this year on proven carriers, need the dev kit path, or run classical vision — same ~$2,999.
- Jetson AGX Thor T5000 — you need 70B-class models, 128 GB, or maximum stream density.
Frequently Asked Questions
How much does the Jetson T4000 cost?
The T4000 module lists at ~$2,999 (1KU+ pricing) as of the July 2026 NVIDIA repricing — identical to the AGX Orin 64GB module. It has been orderable since CES 2026.
Jetson T4000 vs AGX Orin 64GB at the same price — which one?
T4000 for new long-horizon designs that want Blackwell-generation FP4 compute (~1200 FP4 TFLOPs) in a lower power envelope; AGX Orin 64GB for near-term production on its mature ecosystem of carriers, thermal designs, and field-proven software. Same ~$2,999 module price, different risk profiles.
What are the T4000’s power draw and stream capacity?
The T4000 is configurable between 40 and 70 W (vs 40–130 W on the T5000), with vendor-spec video decode up to 10× 4Kp60 H.265. EdgeAIStack stream-capacity benchmarks for the T4000 are not yet published, so treat stream sizing as directional and validate against vendor documentation.