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October 23, 2025October 23, 2025 by Debashis Das - 17 Comments

GIGABYTE AI TOP ATOM – An NVIDIA GB10 desktop AI supercomputer with 1 petaFLOP AI, 10GbE, 128GB RAM

GIGABYTE AI TOP ATOM, NVIDIA Grace Blackwell GB10 Superchip

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 […]

August 19, 2025August 19, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

$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 […]

March 20, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

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, […]

March 19, 2025March 21, 2025 by Jean-Luc Aufranc (CNXSoft) - 13 Comments

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 desktop AI supercomputer

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) […]

March 18, 2025March 17, 2025 by Debashis Das - 4 Comments

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

reComputer J3010B Jetson Orin Nano Edge AI Computer

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

January 27, 2025January 26, 2025 by Debashis Das - 2 Comments

Phison’s aiDAPTIV+ AI solution leverages SSDs to expand GPU memory for LLM training

Phison's aiDAPTIVCache family support 70B model

While looking for new and interesting products I found ADLINK’s DLAP Supreme series, a series of Edge AI devices built around the NVIDIA Jetson AGX Orin platform. But that was not the interesting part, what got my attention was it has support for something called the aiDAPTIV+ technology which made us curious. Upon looking we found that the aiDAPTIV+ AI solution is a hybrid (software and hardware) solution that uses readily available low-cost NAND flash storage to enhance the capabilities of GPUs to streamline and scale large-language model (LLM) training for small and medium-sized businesses. This design allows organizations to train their data models on standard, off-the-shelf hardware, overcoming limitations with more complex models like Llama-2 7B. The solution supports up to 70B model parameters with low latency and high-endurance storage (100 DWPD) using SLC NAND. It is designed to easily integrate with existing AI applications without requiring hardware changes, […]

January 21, 2025January 21, 2025 by Debashis Das - 1 Comment

AAEON BOXER-8654AI-KIT – NVIDIA Jetson Orin NX-based Edge AI kit features four gigabit Ethernet ports with PoE support

The AAEON BOXER-8654AI-KIT Edge AI kit is a compact development kit built around the NVIDIA Jetson Orin NX modules with four gigabit Ethernet ports (with optional PoE) and an Out-of-Band (OOB) management header, and designed for applications like smart cities, IoT ecosystems, edge AI, and others. The multi-functional carrier board also offers six USB 3.2 Gen 2 ports, HDMI video output, two MIPI CSI, two DB-9 ports for RS-232/422/485 and CAN Bus, and a 40-pin NVIDIA Jetson-compatible GPIO header for I2C, SPI, and UART interfaces. Expansion options include M.2 E and B-key slots for Wi-Fi and 5G modules (with onboard SIM), an M.2 M-Key slot for NVMe SSDs, and a SATA connector. AAEON BOXER-8654AI-KIT specifications SoM – NVIDIA Jetson Orin NX module CPU 8GB Version – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache 16GB Version – 8-core Arm Cortex-A78AE v8.2 64-bit CPU, 2MB L2 […]

January 20, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Linux 6.13 Release – Main changes, Arm, RISC-V, and MIPS architectures

Linus Torvalds has just announced the release of Linux 6.13 on the Linux Kernel Mailing List: So nothing horrible or unexpected happened last week, so I’ve tagged and pushed out the final 6.13 release. It’s mostly some final driver fixes (gpu and networking dominating – normal), with some doc updates too. And various little stuff all over. The shortlog is appended for people who want to see the details (and, as always, it’s just the shortlog for the last week, the full 6.13 log is obviously much too big). With this, the merge window for 6.14 will obviously open tomorrow. I already have two dozen pull requests pending – thank you, you know who you are. Linus Release about two months ago, Linux 6.12 – the new LTS version – brought us real-time “PREEMPT_RT” support that had always required out-of-tree patchsets until now, the completion of the EEVDF (Earliest Eligible […]