Jetson Thor: Bringing More Intelligence to the Physical World
At GTC 2025, NVIDIA unveiled Jetson Thor, delivering up to 2,070 FP4 TFLOPS and 128 GB of high-speed memory — a huge leap from the previous 275 FP4 TFLOPS limit. It’s the first Jetson platform capable of running massive AI models, fusing rich sensor data in real time, and still fitting within the power and space constraints of real machines.
Launched now, as humanoid robotics, generative AI, and autonomous systems are accelerating, Thor arrives right when the industry needs it most.
In this article, we’ll explore what Jetson Thor is, why it matters, the kinds of applications it enables, how it compares to previous Jetson generation, and how Forecr’s new DSBOX-THRMAX and DSBOARD-THRMAX platforms make it ready for deployment today.
What Jetson Thor Is
Jetson Thor is NVIDIA’s most advanced edge AI platform to date. It delivers up to 2,070 FP4 TFLOPS of AI compute and supports 128 GB LPDDR5X memory.
It uses the new Blackwell GPU architecture, complete with a Transformer Engine and Multi-Instance GPU (MIG) support. This allows multiple AI models to run at the same time, each with dedicated resources.
Thor is designed for systems that need fast, local decision-making — robots, autonomous machines, industrial automation, and sensor-rich AI devices.
Why It Matters
- Runs complex AI at the edge — including large transformer models, generative AI, and advanced perception tasks.
- Handles massive data flows with 273 GB/s memory bandwidth, making it ideal for multi-camera, multi-sensor systems.
- Efficient performance — packs supercomputer-level compute into a power range of 40–130 W.
- Supports real-time control — essential for humanoid robotics, automated manufacturing, and high-speed vision processing.
Jetson Thor vs. Jetson AGX Orin

Thor isn’t just faster. It supports entirely new classes of workloads that earlier Jetson models couldn’t handle in real time.
See the full spec list from NVIDIA!
How It Fits Into Physical AI
Physical AI is AI that interacts with the real world — moving, sensing, reacting. For that to work well, systems need to process data where it’s collected, without delay. Jetson Thor’s compute power, high-speed memory, and ability to run multiple AI models at once make it suited for:
- Humanoid robots
- Autonomous mobile robots (AMRs)
- Smart manufacturing cells
- Energy-efficient AI appliances
- Multi-sensor inspection systems
Forecr’s DSBOARD-THRMAX & DSBOX-THRMAX
To use Jetson Thor in real-world projects, you need hardware that exposes its full potential. That’s where Forecr’s new platforms come in — available in September.
Looking Ahead
Jetson Thor makes it possible to bring advanced AI into places where milliseconds matter — factory floors, moving vehicles, outdoor robots. With platforms like DSBOARD-THRMAX and DSBOX-THRMAX, that power becomes easier to build into the systems shaping our future. If you’re ready to explore what’s possible, here’s where to start:
Explore DSBOARD-THRMAX NVIDIA® Jetson Thor™ Module Carrier Board
Explore DSBOX-THRMAX NVIDIA® Jetson Thor™ Module Industrial Box PC