Beijing Core-Net Techonology Co., Limited
| Payment Terms | T/T |
| Supply Ability | 50pcs per week |
| Delivery Time | 2-3 work days |
| Processor | ARMv7 |
| RAM | LPDDR4X |
| Wireless Type | Bluetooth |
| Brand | NVIDIA |
| Series | Jetson AGX Orin 64GB Dev Kit |
| Item model number | 945-13730-0050-000 |
| Operating System | Ubuntu |
| Item Weight | 5.39 pounds |
| Package Dimensions | 9.84 x 9.84 x 7.48 inches |
| Number of Processors | 12 |
| Ram Memory Installed Size | 64GB |
| Memory Storage Capacity | 64GB |
| Brand Name | NVIDIA |
| Model Number | Jetson AGX Orin 64GB Dev Kit |
| Place of Origin | China |
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Product Specification
| Payment Terms | T/T | Supply Ability | 50pcs per week |
| Delivery Time | 2-3 work days | Processor | ARMv7 |
| RAM | LPDDR4X | Wireless Type | Bluetooth |
| Brand | NVIDIA | Series | Jetson AGX Orin 64GB Dev Kit |
| Item model number | 945-13730-0050-000 | Operating System | Ubuntu |
| Item Weight | 5.39 pounds | Package Dimensions | 9.84 x 9.84 x 7.48 inches |
| Number of Processors | 12 | Ram Memory Installed Size | 64GB |
| Memory Storage Capacity | 64GB | Brand Name | NVIDIA |
| Model Number | Jetson AGX Orin 64GB Dev Kit | Place of Origin | China |
| High Light | 64GB RAM NVIDIA Developer Kit ，275 TOPS AI Performance Jetson AGX Orin 64GB Dev Kit ，ARMv7 Processor NVIDIA Jetson AGX Orin Developer Kit | ||
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.
| Processor | ARMv7 |
| RAM | LPDDR4X |
| Wireless Type | Bluetooth |
| Brand | NVIDIA |
| Series | Jetson AGX Orin 64GB Dev Kit |
| Item model number | 945-13730-0050-000 |
| Operating System | Ubuntu |
| Item Weight | 5.39 pounds |
| Package Dimensions | 9.84 x 9.84 x 7.48 inches |
| Processor Brand | NVIDIA |
| Number of Processors | 12 |
| Ram Memory Installed Size | 64GB |
| Memory Storage Capacity | 64GB |
Company Details
Business Type:
Distributor/Wholesaler,Trading Company
Year Established:
2002
Employee Number:
20~50
Ecer Certification：
Verified Supplier
Who We Are? Core-Net Group – Your Global IT Solutions Expert and Co-partner a) Established in 2002, Core-Net Group is Senior Selected Partner of Cisco, HPE, HUWEI, Supermicro, Juniper, DellEMC, f5, Fortinet, Hitachi,Mellanox,Brodcom brands since 2002. b) During the past 10 years, we ... Who We Are? Core-Net Group – Your Global IT Solutions Expert and Co-partner a) Established in 2002, Core-Net Group is Senior Selected Partner of Cisco, HPE, HUWEI, Supermicro, Juniper, DellEMC, f5, Fortinet, Hitachi,Mellanox,Brodcom brands since 2002. b) During the past 10 years, we ...
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