NEMIX RAM DDR5-5600 2TB (16x128GB) ECC RDIMM CL46 1.1V Supermicro H14SST-G memory upgrade
- 2TB (16 x 128GB)
- 288-Pin DDR5 RDIMM
Prihvaćamo kriptovalute — tako kriptovalute koje posjedujete mogu kupiti pravi hardver.Plaćajte kriptovalutom, trošite je na pravi hardver. Besplatna osigurana dostava diljem svijeta iznad 399 $. Obični vanjski kartoni bez oznaka, otpremaju se iz Njemačke.Besplatna osigurana dostava iznad 399 $. Vaš je tečaj blokiran 30 minuta od otvaranja blagajne.Tečaj blokiran 30 minuta. Svaki je artikl zapečaćen, njegov serijski broj provjeren, i pokriven jamstvom od 24 mjeseca.Zapečaćen, jamstvo 24 mjeseca.
LORDWORLD
AI robot kit for NVIDIA Jetson Nano with 8MP 160° camera, 64GB SD card, ROS nodes and wireless gamepad for facial recognition and autonomous navigation
The LORDWORLD JetBot AI Kit provides a ready-to-run robotics platform built around the NVIDIA Jetson Nano module. It includes a 128-core GPU, quad-core A57 CPU, 4GB RAM and a pre-loaded 64GB SD card. The bundle targets students, researchers and hobbyists who want to explore autonomous navigation and computer vision without sourcing individual parts.
The 128-core GPU and quad-core A57 CPU handle continuous neural-network inference for tasks such as facial recognition, object tracking, line following and obstacle avoidance. The Sony IMX219 sensor streams 3280×2464 frames through a 160° field of view, feeding training data collection and real-time monitoring. ROS nodes supplied with the kit manage message passing during extended autonomous sessions.
Mechanical assembly follows the JetBot chassis design; the camera mounts on the front bracket and connects to the CSI port on the Jetson Nano carrier board. The 64GB SD card boots the ROS image, so first boot requires only power and network access. Builders without a 5V 4A supply or a compatible Wi-Fi dongle often encounter brown-outs or headless configuration delays. No wireless gamepad pairing procedure is documented in the box.
| Brand | LORDWORLD |
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The Jetson Nano module integrates a 128-core GPU and quad-core A57 CPU within its standard thermal envelope; sustained AI tasks will warm the heatsink, so ensure the kit's chassis allows free airflow around the board.
You need a separate computer with an SD-card reader running Linux, Windows or macOS to write the JetBot system image onto the included 64 GB card before first boot.
The kit's 8 MP 160° camera uses a Sony IMX219 sensor at 3280×2464 resolution; additional IMX219 modules can be connected to the Jetson Nano's CSI ports if the carrier board exposes them.
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