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The NVIDIA Jetson AGX Orin 32GB module delivers up to 200 TOPS of AI performance with power configurable between 15W and 40W. This gives you more than 6X the performance of Jetson AGX Xavier in the same compact form-factor for robotics and other autonomous machine use cases.
This system-on-module 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, Deep Stream 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.
Jetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your route-to-market has never been faster.
Learn more at www.nvidia.com/JetsonAGXOrin
| Feature | Jetson AGX Xavier | Jetson Orin NX 8GB (coming soon) | Jetson Orin NX 16GB | Jetson AGX Orin 32GB | Jetson AGX Orin 64GB |
|---|---|---|---|---|---|
| AI Performance | 32 TOPS | 70 TOPS | 100 TOPS | 200 TOPS | 275 TOPS |
| GPU | 512 Core Volta, with 64 Tensor Cores | 1024 Core Ampere, with 32 Tensor Cores | 1024 Core Ampere, with 32 Tensor Cores | 1792 Core Ampere, with 56 Tensor Cores | 2048 Core Ampere, with 64 Tensor Cores |
| DL Accelerator | (2x) NVDLA | (1x) NVDLA V2.0 | (2x) NVDLA V2.0 | (2x) NVDLA V2.0 | (2x) NVDLA V2.0 |
| Vision Accelerator | (2x) 7-way VLIW Processor | PVA v2.0 | PVA v2.0 | (2x) 7-way VLIW Processor | (2x) 7-way VLIW Processor |
| CPU | 8 core Carmel ARM CPU 2MB L2 + 4MB L3 |
6-core Arm Cortex-A78AE 1.5MB L2 + 4MB L3 |
8-core Arm Cortex-A78AE 2MB L2 + 4MB L3 |
8 core Arm Cortex-A78AE 2MB L2 + 4MB L3 |
12 core Arm Cortex-A78AE 3MB L2 + 6MB L3 |
| Memory | 16GB 256-bit LPDDR4x @ 2133MHz 137 GB/s |
8GB 128-bit LPDDR5 @ 2133 HMz 102.4 GB/s |
16GB 128-bit LPDDR5 @ 2133 HMz 102.4 GB/s |
32GB 256-bit LPDDR5 @ 2133MHz 205 GB/s |
64GB 256-bit LPDDR5 @ 2133MHz 205 GB/s |
| Storage | 32GB/64GB eMMC | Supports external NVMe | Supports external NVMe | 64GB eMMC | 64GB eMMC |
| Video Encode | 2x8K @30 | 6x4K @60 | 12x4K @30 | 26x1080p @60 | 52x1080p @30 (HEVC) | 30x1080p @30 (H.264) | 1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1 | 1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1 | 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, AV1 | 2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1 |
| Video Decode | (2x) 8Kp30 / (6x) 4Kp60 | 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, H.265, VP9, AV1 |
1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, H.265, VP9, AV1 |
1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) H.264, VP9, AV1 | 1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60| 22x 1080p30 (H.265) H.264, VP9, AV1 |
| Camera | 16 lanes MIPI CSI-2 | 8 lanes SLVS-EC D-PHY 40Gbps / C-PHY 109Gbps |
Up to 4 cameras (8 via virtual channels*) 8 lanes MIPI CSI-2 D-PHY 1.2 (20 Gbps) |
Up to 4 cameras (8 via virtual channels*) 8 lanes MIPI CSI-2 D-PHY 1.2 (20 Gbps) |
16 lane MIPI CSI-2 connector | 16 lane MIPI CSI-2 connector |
| Mechanical | 100mm x 87mm 699 pin connector |
69.6mm x 45mm 260-pin connector |
69.6mm x 45mm 260-pin connector |
100mm x 87mm 699 pin connector |
100mm x 87mm 699 pin connector |
| Power | 10W / 15W / 30W | 10W / 15W / 20W | 10W / 15W / 25W | 15W - 40W | 15W - 60W |
| AI Performance | 200 TOPS (Sp) |100 TOPS (De) |
| GPU | 1792-core NVIDIA Ampere GPU with 56 Tensor Cores |
| DL Accelerator | 2x NVDLA v2 |
| Vision Accelerator | PVA v2 |
| CPU | 8-core NVIDIA Arm Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 |
| Memory | 32 GB 256-bit LPDDR5 @ 3200MHz 204.8 GB/s |
| Storage | 64 GB eMMC 5.1 |
| Video Encode | 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, AV1 |
| Video Decode | 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) H.264, VP9, AV1 |
| Camera | 16 lanes MIPI CSI-2 (16 Virtual Channels*) D-PHY 2.1 40Gbps / C-PHY 2.0 164Gbps |
| PCI Express | 22 lanes PCIe Gen 4 Up to 2 x8, 1 x4, 2 x1 |
| Ethernet | 1 Gbe RGMII | 4x 10Gbe XFI |
| Mechanical | 100mm x 87mm 699 pin connector |
| Power | 15W to 40W |
Entrega Normal | 5 a 7 dias úteis
Entrega Urgente | 3 a 5 dias úteis
*salvo rutura de stock
Trabalhamos intensamente cumprir os prazos de entrega anunciados. No entanto, enfrentamos uma escassez global relativamente a alguns componentes e fabricantes.
Em caso de dúvidas ou preocupações, entre em contacto connosco para garantir o tempo de entrega.
Poderemos aconselhar sobre a disponibilidade de hardware alternativo e fornecer recomendações de componentes disponíveis para opções de envio mais rápidas.
