NVIDIA Tegra did not disappear; its role changed. Tegra 2, Tegra 3, and Tegra K1 processor lines listed by NVIDIA reached their stated availability endpoint in January 2024, while NVIDIA’s embedded-computing business continues under the Jetson name. Jetson Orin modules are listed through January 2032, and NVIDIA announced a new Orin Nano 2 in August 2026.
What happened to NVIDIA Tegra?
Tegra began as NVIDIA’s integrated processor platform for mobile devices, combining CPU and graphics capabilities with other system functions. The company promoted early Tegra generations for phones and tablets. In 2012, it announced that Tegra 3 would power the HTC One X, highlighting its four performance cores and a lower-power companion core as part of its 4-PLUS-1 design. NVIDIA’s announcement reflects the smartphone-era pitch: graphics performance and computing power within a mobile power budget.
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Later Tegra generations broadened NVIDIA’s stated ambitions. The Tegra X1 launch and its white paper discussed applications spanning mobile devices, embedded products, autonomous machines, and automotive systems. That evolution helps explain why Tegra’s story did not end with phones: the technology and NVIDIA’s priorities increasingly connected to embedded computing. The available evidence does not establish one single cause for the decline of Tegra phones or a precise date when every consumer use ended.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsIs NVIDIA Tegra still being made?
NVIDIA’s Jetson product lifecycle page lists availability through January 2024 for Tegra 2, Tegra 3, and Tegra K1 processors. That is the published endpoint for those listed processor lines; it should not be stretched into a claim that every Tegra-derived or custom design ended then.
#1 Best Overall
- The NVIDIA Jetson AGX Orin 64GB Developer Kit makes it easy to get started with Jetson Orin. Compact size, lots of connectors, and up to 275 TOPS of AI performance make this developer kit perfect for prototyping advanced AI-powered robots and other autonomous machines.
- The developer kit includes a Jetson AGX Orin 64GB module, and can emulate all the Jetson Orin modules. It supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.
- Jetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC catalog.
- Jetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.
- With the computing capability of more than 8 Jetson AGX Xavier systems in a developer kit that integrates the latest NVIDIA GPU technology with the world’s most advanced deep learning software stack, you’ll have the flexibility to create tomorrow’s AI solution as well as today’s.
The dates on NVIDIA’s lifecycle page are product availability windows, not a guarantee that a particular item remains in stock through every seller or that it receives indefinite software support. NVIDIA says an official end-of-life notice will be sent at least eight months before the last shipment.
How did Tegra lead to Jetson?
Jetson is NVIDIA’s present-day platform for embedded computing and edge AI. Rather than positioning it primarily as a phone processor, NVIDIA presents Jetson products as modules and developer systems for building AI-powered devices, including robotics and other edge applications. NVIDIA’s Jetson overview describes that platform and its development context.
The Tegra K1-to-Jetson transition is visible in NVIDIA’s own support information. The company’s Tegra K1 page says the SoC would remain available through January 2024 and identifies JetPack 3.1 as the final JetPack version for the Jetson TK1 Developer Kit. Current Jetson materials describe a newer platform and software context; legacy TK1 support should not be confused with current Jetson development.
Rank #2
- AGX Orin 64GB Development Kit makes it easy to get started with AGX Orin. Its compact size, rich interfaces, and AI performance of up to 275 TOPS make it ideal for building advanced AI robots and other autonomous machine prototypes.
- The development kit includes AGX Orin 64GB module and can emulate all Orin modules. It utilizes the Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth. You can leverage the largest and most complex AI models to develop solutions for problems such as natural language understanding, 3D perception, and multi-sensor fusion.
- Jetson runs AI software and provides application frameworks for specific use cases, such as Isaac for robotics, DeepStream for visual AI, and Riva for conversational AI. Using Omniverse Replicator for Synthetic Data Generation (SDG) can save you significant time; while fine-tuning pre-trained AI models from the NGC catalog using the TAO toolkit can further enhance your results.
- Yahboom offers four kits for users to choose from. The AIlarge model voice module utilizes examples of AI large models and multimodal models; it provides 1TB/2TB SSDs with pre-flashed driver image files; and an 8MP USB industrial camera for image processing.
- It offers various online and offline mainstream AI large model development materials. The system is pre-configured with AI vision examples, ROS case studies, and AI large models. It supports offline/online deployment of large models for voice interaction, real-time video analysis, and visual positioning, helping you quickly get started with localized AI agent development.
Tegra and Jetson: what changed?
| Dimension | Earlier Tegra emphasis | Current Jetson emphasis |
|---|---|---|
| Intended use | Phones and tablets, alongside broader embedded and automotive ambitions in later generations. | Edge AI, robotics, and embedded computing. |
| Product framing | Integrated mobile system-on-chip. | Development modules and systems for building embedded AI products. |
| Availability horizon | NVIDIA lists Tegra 2, Tegra 3, and Tegra K1 processor availability through January 2024. | NVIDIA lists AGX Orin, Orin NX, and Orin Nano module variants through January 2032. |
| Software context | Jetson TK1’s final JetPack version was 3.1, according to NVIDIA. | NVIDIA’s current Jetson materials present JetPack as the software stack for the platform. |
The lifecycle dates in the table come from NVIDIA’s published product lifecycle listing. They indicate listed availability, not universal retailer stock or unlimited support.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What is NVIDIA’s current Tegra-era hardware direction?
Jetson Orin modules
NVIDIA’s current module lineup lists up to 67 TOPS for Jetson Orin Nano and up to 157 TOPS for Orin NX. These are NVIDIA specifications, not independent benchmark results, and the figures alone do not establish performance in a particular application. The lineup and product positioning are on NVIDIA’s Jetson modules page.
Jetson Orin Nano 2
On August 25, 2026, NVIDIA announced Jetson Orin Nano 2. The company said it delivers twice the predecessor’s inference performance and uses 40% less power at the same performance. Those are NVIDIA’s claims in its announcement, not independently verified test results. The release also reported more than three million developers building on NVIDIA’s robotics stack; that is the company’s figure, not a measure of active commercial deployments.
Rank #3
- 【Core Parameters】★AI Perf:34-67 TOPS ★GPU:512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores ★CPU:6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 ★Memory:4GB 64-bit LPDDR5 51 GB/s ★Storage: external NVMe via M.2 Key M (NOTE:SUB Board No SD Card Slot)
- 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications.
- 【AI Upgrade】Jetson Orin Nano series modules are compact in size but can deliver up to 34-67 TOPS of AI performance, with power consumption ranging from 7 watts to 25 watts. Compared to the Jetson Nano B01, it offers up to 80 times the performance and sets a new standard for entry-level edge AI.
- 【Highly compatible carrier board】Yahboom's carrier board is fully compatible with orin nano module. Compared to carrier boards that use Jetson Nano on the market, the newly upgraded circuit supports 25W power mode, which enables larger and more complex neural networks and fully leverages the performance of the core module. The resources, size, and interfaces of the Yahboom carrier board are consistent with the official board, with the only difference addition of power switch button.
- 【Tutorial materials provided】The JETSON system based on Ubuntu 22.04 provides a complete desktop Linux environment with accelerated graphics, supporting NVIDI-ACUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.
Can you still use Tegra K1?
The Tegra K1 remains relevant as a legacy development platform, but its lifecycle and software endpoint matter if you are considering a project. NVIDIA’s Tegra K1 page gives January 2024 as the SoC availability endpoint and JetPack 3.1 as the final JetPack release for the Jetson TK1 Developer Kit. Anyone maintaining older TK1 software should check the requirements and compatibility of their existing software rather than assume current Jetson instructions apply.
How can you explore NVIDIA’s current embedded platform?
For someone interested in building or prototyping edge-AI projects, NVIDIA’s Jetson Orin Nano Super Developer Kit offers a practical entry point. NVIDIA’s FAQ lists a suggested price of $399 at 1KU+—a volume-price reference, not a guaranteed retail price—and says developer kits are intended for software development and prototyping. It is a development system, not a replacement Tegra chip for an old phone. See NVIDIA’s Jetson FAQ for the price qualification and kit purpose.
Quick Recap
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