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Rp3.408.000
NVIDIA Jetson Nano Module Small AI SOM with 16GB EMMC
Rp3.408.000
- Kondisi: Baru
- Waktu Preorder: 30 Hari
- Min. Pemesanan: 1 Buah
- Etalase: 30 - Artificial Intelligent AI
Note : Stok tertera adalah stock REALTIME READY gudang kami, mohon perhatikan jika produk berstatus Pre-Order
SKU : 442-544
NVIDIA Jetson Nano Module with 16GB EMMC
The NVIDIA Jetson Nano moduledelivers up to 472 GFLOPS of accelerated computing from NVIDIA CUDA cores in an unprecedented size, power and cost. Jetson nano natively supports all types of AI models and popular AI frameworks e.g. TensorFlow, PyTorch and MxNet. This makes Jetson nano the ideal platform for developing mass market AI products such as AIIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems.
The system-on-module is powered by the NVIDIA Maxwell GPU with 4GB of memory which enables real-time processing of high resolution inputs. It has a combination of performance, power advantage and rich set of IOs, from high speed CSI and PCIe to low speed I2Cs and GPIOs. It can also support multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5W.
Integrates 16 GB eMMC storage, industrial grade, more stable
Compatible with Jetson Nano Developer Kit (B01) and JETSON-IO-BASE-A carrier board
Spesifikasi :
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 Encoder : 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)
Video Decoder : 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 :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
SKU : 442-544
NVIDIA Jetson Nano Module with 16GB EMMC
The NVIDIA Jetson Nano moduledelivers up to 472 GFLOPS of accelerated computing from NVIDIA CUDA cores in an unprecedented size, power and cost. Jetson nano natively supports all types of AI models and popular AI frameworks e.g. TensorFlow, PyTorch and MxNet. This makes Jetson nano the ideal platform for developing mass market AI products such as AIIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems.
The system-on-module is powered by the NVIDIA Maxwell GPU with 4GB of memory which enables real-time processing of high resolution inputs. It has a combination of performance, power advantage and rich set of IOs, from high speed CSI and PCIe to low speed I2Cs and GPIOs. It can also support multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5W.
Integrates 16 GB eMMC storage, industrial grade, more stable
Compatible with Jetson Nano Developer Kit (B01) and JETSON-IO-BASE-A carrier board
Spesifikasi :
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 Encoder : 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)
Video Decoder : 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 :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
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