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NVIDIA Jetson Nano Module

SKU: SBC1101-MOD

₹ 23,899.99

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NVIDIA Jetson Nano Module₹ 23,899.99
Ask AI about this product

The power of modern AI is now available for makers, learners, and embedded developers everywhere.Ā Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module.

Get started fast with the comprehensiveĀ JetPack SDKĀ with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. Jetson Nano has the performance and capabilities you need to run modern AI workloads, giving you a fast and easy way to add advanced AI to your next product. To get started with your development process, check out theĀ Jetson Nano Developer Kit.

Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IoT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

Get started today with the Jetson Nano Kit.Ā All Jetson kits ship FREEĀ with Bluedart (applicable to Bluedart service zones only).

Specifications

Module Technical Specifications

GPU NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16)
CPU Quad-core ARM® Cortex®-A57 MPCore processor
Memory 4 GB 64-bit LPDDR4
1600MHz - 25.6 GB/s
Storage 16 GB eMMC 5.1 Flash
Video Encode 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)
Video Decode 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)
Camera 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)
Connectivity Wi-Fi requires external chip
10/100/1000 BASE-T Ethernet
Display HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
UPHY 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
I/O 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
Size 69.6 mm x 45 mm
Mechanical 260-pin edge connector
What is this module and what can it do?
It is a small powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module and includes the JetPack SDK with libraries for deep learning computer vision graphics and multimedia.
What kits and development resources are available to help me start?
It can be started with the Jetson Nano Developer Kit or Jetson Nano Kit and includes the JetPack SDK for accelerated libraries. All Jetson kits ship free with Bluedart to applicable zones.
What are the main hardware specifications including memory storage and GPU?
Gpu is Maxwell architecture with 128 CUDA cores and 0.5 TFLOPs FP16. Cpu is a Quad core ARM Cortex A57 MPCore. Memory is 4 GB 64 bit LPDDR4 at 1600 MHz giving 25.6 GB per second and storage is 16 GB eMMC 5.1.
What display and I O options are available on the module?
Display options include HDMI 2.0 or DP1.2 plus eDP 1.4 and DSI. For connectivity it has one USB 3.0 port three USB 2.0 ports and 10 100 1000 Ethernet along with PCIe lanes and a rich set of I O including 3 UARTs 2 SPIs 2 I2S 4 I2C and GPIOs.
What are typical use cases and is it suitable for AI at the edge?
It is designed to run modern AI workloads and is suitable for embedded and IoT applications such as entry level network video recorders home robots and intelligent gateways with full analytics capabilities.
Welcome to the discussion thread for NVIDIA Jetson Nano Module
Feel free to ask questions, share tips or report issues.
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Description
Ask AI about this product

The power of modern AI is now available for makers, learners, and embedded developers everywhere.Ā Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module.

Get started fast with the comprehensiveĀ JetPack SDKĀ with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. Jetson Nano has the performance and capabilities you need to run modern AI workloads, giving you a fast and easy way to add advanced AI to your next product. To get started with your development process, check out theĀ Jetson Nano Developer Kit.

Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IoT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

Get started today with the Jetson Nano Kit.Ā All Jetson kits ship FREEĀ with Bluedart (applicable to Bluedart service zones only).

Specifications

Module Technical Specifications

GPU NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16)
CPU Quad-core ARM® Cortex®-A57 MPCore processor
Memory 4 GB 64-bit LPDDR4
1600MHz - 25.6 GB/s
Storage 16 GB eMMC 5.1 Flash
Video Encode 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)
Video Decode 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)
Camera 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)
Connectivity Wi-Fi requires external chip
10/100/1000 BASE-T Ethernet
Display HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
UPHY 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
I/O 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
Size 69.6 mm x 45 mm
Mechanical 260-pin edge connector
FAQ
What is this module and what can it do?
It is a small powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module and includes the JetPack SDK with libraries for deep learning computer vision graphics and multimedia.
What kits and development resources are available to help me start?
It can be started with the Jetson Nano Developer Kit or Jetson Nano Kit and includes the JetPack SDK for accelerated libraries. All Jetson kits ship free with Bluedart to applicable zones.
What are the main hardware specifications including memory storage and GPU?
Gpu is Maxwell architecture with 128 CUDA cores and 0.5 TFLOPs FP16. Cpu is a Quad core ARM Cortex A57 MPCore. Memory is 4 GB 64 bit LPDDR4 at 1600 MHz giving 25.6 GB per second and storage is 16 GB eMMC 5.1.
What display and I O options are available on the module?
Display options include HDMI 2.0 or DP1.2 plus eDP 1.4 and DSI. For connectivity it has one USB 3.0 port three USB 2.0 ports and 10 100 1000 Ethernet along with PCIe lanes and a rich set of I O including 3 UARTs 2 SPIs 2 I2S 4 I2C and GPIOs.
What are typical use cases and is it suitable for AI at the edge?
It is designed to run modern AI workloads and is suitable for embedded and IoT applications such as entry level network video recorders home robots and intelligent gateways with full analytics capabilities.
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Welcome to the discussion thread for NVIDIA Jetson Nano Module
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