- Nvidia Jetson AGX Thor debuts with Blackwell GPU, 128GB reminiscence, and 1TB storage
- Early evaluations describe a succesful platform providing critical efficiency enhancements over Jetson Orin
- Reviewers agree it’ll enchantment to builders needing highly effective {hardware} for tasks
Nvidia not too long ago launched the Jetson AGX Thor Developer Package, a $3,499 platform designed for robotics and edge AI improvement – and it is had a heat preliminary reception from reviewers.
At its coronary heart is the Jetson T5000 module constructed on the Blackwell structure, which mixes a GPU with 2,560 CUDA cores, 96 Tensor cores, and a 14 core Arm Neoverse CPU.
It’s paired with 128GB of LPDDR5x reminiscence, providing over 270GB per second of bandwidth, and 1TB of onboard storage. Connectivity choices embrace USB C, USB A, HDMI 2.1, Wi Fi 6E, Bluetooth, Gigabit Ethernet, and a 100GbE port.
“Gobs of horsepower”
The primary evaluations of the package are actually in, and so they recommend Nvidia has constructed a formidable choice for builders regardless of its increased value in comparison with the Jetson Orin.
HotHardware’s testing confirmed the Jetson AGX Thor to be a powerful performer, even with restricted comparisons. Nvidia’s Arm64 containers ran easily, however testing in opposition to different Blackwell {hardware} wasn’t doable, and the older Orin package failed to finish workloads.
The hole in functionality was clear, although, with Orin nearer to an RTX 3050 and Thor approaching RTX 5070 ranges.
Massive language fashions carried out properly in testing. As HotHardware factors out, “LLMs are one space the place the Jetson excels, and it must since humanoid robots are anticipated to combine language with visible inputs.”
The overview concluded that the package has “gobs of horsepower” for robotics and AI tasks, noting, “If you wish to run very massive AI fashions in a pleasant multi-tasking surroundings utilizing Nvidia’s software program stack, the Jetson AGX Thor Developer Package is a superb new device in your toolchest. The excellent news is that it handles all of these duties with model and aplomb. And the system will seemingly get even higher over time as Nvidia continues to refine and replace its software program stack with further edge AI capabilities.”
ServeTheHome’s overview discovered efficiency got here near matching Nvidia’s claims, together with 149.1 tokens per second on Llama 3.1 8B versus the anticipated 150.8.
CPU multi-threaded efficiency positioned it close to an AMD Ryzen AI 7 350 or Mac Mini M4, which was thought of adequate given its GPU focus.
In benchmark testing, as anticipated, Thor constantly outpaced Orin throughout each mannequin. Beneficial properties on smaller workloads resembling Qwen 2.5-VL 7B and Llama 3.1 8B have been modest, with Thor coming in round 1.3 occasions quicker.
Deepseek-R1 7B confirmed a bigger enchancment at about 1.5 occasions the pace. Essentially the most dramatic distinction got here with Qwen 3 32B inference, the place Thor practically reached 5 occasions the efficiency of Orin, highlighting its energy when working bigger and extra demanding fashions.
Whereas energy draw could problem battery methods, ServeTheHome concluded the Thor presents the compute and reminiscence wanted for superior robotics. It additionally managed to determine the included 1TB SSD as a WD/SanDisk SN5000S.
Each evaluations described the Jetson AGX Thor as a succesful step ahead for edge AI and robotics tasks and praised its mixture of compute energy, reminiscence capability, and developer instruments, whereas noting that software program updates might be wanted to unlock all of its poential.
As ServeTheHome put it, the brand new package is “going to promote like hotcakes. In case you are constructing high-end next-generation robotics, that is the platform you need to do it on. ”
