Auvidea X242 is an industrial carrier board for NVIDIA’s Jetson Thor T5000 module, targeting edge AI, robotics, vision, and high-bandwidth embedded systems, mainly in industrial and high-performance commercial applications. The board supports dual 10GbE, PCIe x16 expansion, NVMe storage, 4G LTE/5G M.2, up to four displays through HDMI and DisplayPort Alt Mode over USB-C (rev 3), and multiple cameras through a 16-lane CSI-2 camera connector. The carrier board supports a wide 24–48 V power input with power modes up to 120 W. Industrial features include hot-swap control, reverse and over-voltage protection, and backward compatibility with earlier Auvidea Jetson platforms. Auvidea X242 Specifications: Supported system-on-module – NVIDIA Jetson Thor T5000 Storage – M.2 Key M 2280 socket (PCIe x2 Gen 5) for NVMe SSD Video Output HDMI port Up to 3x USB-C with DisplayPort Alt Mode Up to 4x displays supported simultaneously Camera – 16-lane CSI-2 camera connector, compatible with NVIDIA […]
CIX releases P1 CPU TRM and developer guides for GPU, AI accelerator, OS and firmware/BIOS
CIX has finally released the technical reference manual (TRM) for the P1 (CD8180/CD8160) Arm Cortex-A720/A520 SoC, along with developer guides for the GPU (Arm Immortalis G720 and NVIDIA/AMD discrete graphics cards), the AI accelerator, as well as OS (Android, Linux, and Windows) and firmware (BIOS) installation and development. A slow (but steady?) progress There was a lot of excitement when the Radxa Orion O6 mini-ITX motherboard was introduced in December 2024, as we were told the CIX P1 12-core Armv9 processor would offer performance similar to Apple M1 SoC and Qualcomm 8cx Gen3 platform, at an affordable price ($199 and up for the mini-ITX board), and software support would include a Debian image, full UEFI via an open-source EDKII implementation, as well as an SDK along with hardware and software documentation, community forum support, and regular firmware & OS updates. CIX was even called “a native open source ecosystem chip […]
Radxa C200 Orin Developer Kit – An NVIDIA Jetson Orin NX 8GB devkit with three M.2 PCIe 4.0 slots
The Radxa C200 is a compact developer kit built around the NVIDIA Jetson Orin NX 8GB module. It features three PCIe 4.0 NVMe slots and 117 TOPS AI “Super Mode” for high-speed storage expansion, fast-bootable SSDs, and data-intensive AI workloads. It supports 8GB LPDDR5 memory, two M.2 M-Key slots (PCIe 4.0 x2/x4) for NVMe storage or other expansion, and an M.2 E-key (PCIe 4.0 x1) slot for Wi-Fi/BT or other compatible modules. Ports include DisplayPort 1.2 video output, four USB 3.2 Gen2 Type-A ports, a USB Type-C port with recovery mode, Gigabit Ethernet, two MIPI CSI interfaces, and a 40-pin GPIO header. Additional features include CAN bus, PoE headers, RTC battery, and a PWM fan connector, extending system integration options. Radxa C200 Orin Developer Kit specifications: SoM – NVIDIA Jetson Orin NX 8GB module CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache de […]
NVIDIA Jetson T5000-based Firefly EC-ThorT5000 industrial PC features 8x GMSL2 camera interfaces, 4x 10GbE RJ45 ports
The Firefly EC-ThorT5000 is an industrial edge AI PC built around NVIDIA’s new Jetson T5000 Thor series module, with up to 2070 TFLOPS FP4 performance. The system is one of the first commercial products based on the Jetson Thor platform, launched in late August 2025. The EC-ThorT5000 provides eight GMSL2 camera inputs, four 10GbE and four GbE (PSE) ports, dual NVMe storage, HDMI 2.0, USB 3.0, CAN/RS485/RS232, SIM support, and expansion options for 5G, 4G, and WiFi 6. It also offers up to 92-channel 1080p video decoding in a rugged all-aluminum chassis designed for 24/7 operation, making it suitable for robotics, smart city deployments, and high-density edge AI workloads. Firefly EC-ThorT5000 specifications: SoM – NVIDIA Jetson Thor T5000 module CPU – 14-core 64-bit ARM Neoverse-V3AE @ up to 2.6GHz GPU – 2560-core Blackwell GPU with 96 Tensor Cores, 10-TPC MIG VPU Video Decode – 4x 8Kp30 (H.265), 10x 4Kp60 (H.265), […]
GIGABYTE AI TOP ATOM – An NVIDIA GB10 desktop AI supercomputer with 1 petaFLOP AI, 10GbE, 128GB RAM
GIGABYTE has introduced the AI TOP ATOM, a compact desktop AI supercomputer with 1 petaFLOP of AI performance, which is very similar to NVIDIA DGX Spark. That’s because it’s also built around the NVIDIA Grace Blackwell GB10 Superchip. Housed in a 1-liter chassis, it’s designed for generative AI, large language models, and machine learning workloads directly on the desktop. The AI TOP ATOM features 128 GB of LPDDR5x unified memory, supports up to 4 TB PCIe Gen5 SSD storage. The 1,000 TOPS (1 petaFLOP) FP4 of AI compute enables it to handle models with up to 200 billion parameters, or 405 billion in a dual-system configuration. Connectivity includes 10GbE networking, Wi-Fi 7, Bluetooth 5.3, HDMI 2.1a, and multiple USB 3.2 Gen 2×2 Type-C ports. GIGABYTE AI TOP ATOM specifications: SoC – NVIDIA GB10 CPU – 20-core Armv9 processor with 10x Cortex-X925 cores and 10x Cortex-A725 cores Architecture – NVIDIA Grace […]
$3499 NVIDIA Jetson AGX Thor Developer Kit features 2070 TOPS Jetson T5000 SoM for robotics and edge AI
NVIDIA introduced the DGX Spark desktop solution for AI development and prototyping, delivering up to 1000 TOPS (FP4) of AI performance a few months ago. The company has now unveiled the Jetson AGX Thor Developer Kit, which looks similar at first, but it’s designed for edge AI and robotics with I/Os for cameras and sensors. The Jetson AGX Thor Developer Kit is equipped with a Jetson T5000 system-on-module with 2070 TOPS (FP4) of AI performance and high-bandwidth 128GB LPDDR5x memory, which delivers over 7.5x higher AI compute than the NVIDIA Jetson AGX Orin, and 3.5x better energy efficiency. A lower-end Jetson T4000 SoM is also in the works with 1200 TFLOPS and 64GB LPDDR5x. Jetson T5000 and T4000 system-on-modules Let’s look at the key features of the Jetson T5000 and T4000 first, noting that any information about the T4000 is still preliminary. Jetson AGX Thor Developer Kit Jetson Thor Developer […]
Canonical now officially supports Ubuntu on NVIDIA Jetson system-on-modules
The NVIDIA JetPack SDK has been based on Ubuntu ever since it was created (although the Jetpack 6 SDK changed that somewhat), so I was surprised to read that Canonical now officially supports Ubuntu on NVIDIA Jetson, since I assumed there may have already been a partnership in place. The announcement explains that Canonical has announced the General Availability (GA) of Ubuntu for the NVIDIA Jetson Orin for edge AI and robotics “bringing enterprise-grade stability and support” to the popular system-on-modules. Canonical further explains the collaboration enables better performance with optimized Ubuntu images for the NVIDIA Jetson platform, enterprise-level security with updates and long-term support, a unified environment from edge to cloud, and improved stability and reliability with Canonical’s QA team performing over 500 OS compatibility-focused hardware tests. If we visit the NVIDIA Jetson page of the Ubuntu website, we’ll find Ubuntu Server 22.04 images for the Jetson AGX Orin, […]
NVIDIA DGX Spark – A desktop AI supercomputer powered by NVIDIA GB10 20-core Armv9 SoC with 1,000 TOPS of AI performance
NVIDIA DGX Spark may look like a mini PC, but under the hood, it’s a powerful AI supercomputer based on the NVIDIA GB10 20-core Armv9 SoC with Blackwell architecture delivering up to 1,000 TOPS (FP4) of AI performance, and high memory bandwidth (273 GB/s) with 128 GB 256-bit LPDDR5x. The GB10 SoC is equipped with ten Cortex-X925 cores, ten Cortex-X725 cores, a Blackwell GPU, 5th Gen Tensor cores, and 4th Gen RT cores. The system also features a 1 TB or 4TB SSD, an HDMI 2.1a video output port, 10GbE and WiFi 7 networking, and four USB4 ports. NVIDIA DGX Spark specifications: SoC – NVIDIA GB10 CPU – 20-core Armv9 processor with 10x Cortex-X925 cores and 10x Cortex-A725 cores Architecture – NVIDIA Grace Blackwell GPU – Blackwell Architecture CUDA Cores – Blackwell Generation 5th Gen Tensor cores 4th Gen RT (Ray Tracing) cores Tensor Performance – 1000 AI TOPS (FP4) […]



