Nvidia Tegra X1 Category - Page 10 of 20 - CNX Software

November 9, 2021November 9, 2021 by Jean-Luc Aufranc (CNXSoft) - 27 Comments

NVIDIA Jetson AGX Orin 12-core Cortex-A78E module delivers up to 200 TOPS

The upcoming NVIDIA Jetson AGX Orin module packs some serious processing power with a 12-core Cortex-A78AE processor, 2048 CUDA cores, and 64 Tensor cores delivering up to 200 TOPS of AI performance, or 6 times more than its predecessor, the Jetson AGX Xavier module. Designed for robotics, autonomous machines, medical devices, the Jetson AGX Orin delivers the same performance as a GPU-enabled server, but in a much more compact 100 x 87mm form factor. The module can be operated in three power modes, namely 15W, 30W, or 50W depending on performance and power requirements, and a compact developer kit will also be made available. Jetson AGX Orin specifications: CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator […]

November 2, 2021November 9, 2021 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

Linux 5.15 LTS release – Main Changes, Arm, RISC-V and MIPS architectures

Linus Torvalds released Linux 5.15, an LTS version, this past Sunday: It’s been calm, and I have no excuse to add an extra rc, so here we are, with v5.15 pushed out, and the merge window starting tomorrow. Which is going to be a bit inconvenient for me, since I also have some conference travel coming up. But it’s only a couple of days and I’ll have my laptop with me. Sometimes the release timing works out, and sometimes it doesn’t.. Anyway, the last week of 5.15 was mainly networking and gpu fixes, with some random sprinkling of other things (a few btrfs reverts, some kvm updates, minor other fixes here and there – a few architecture fixes, couple of tracing, small driver fixes etc). Full shortlog appended. This release may have started out with some -Werror pain, but it calmed down fairly quickly and on the whole 5.15 was […]

October 29, 2021November 1, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Jetson SUB mini PC ships with Xavier NX SoM, 128GB SSD

Jetson SUB is a mini PC powered by NVIDIA Jetson Xavier NX module and equipped with a 512GB 128GB SSD, a WiFi module, all housed in an aluminum case with a cooling fan. [Update Nov 1, 2021: Seeed Studio informed me the SSD would only have 128 GB capacity] Preloaded with NVIDIA Jetpack, the mini PC is designed for higher-end edge AI and IoT workloads leveraging the 384 NVIDIA CUDA cores, 48 Tensor cores, the hexa-core Carmel 64-bit Arm processor, and the two NVIDIA Deep Learning Accelerators (NVDLA) engines from the Xavier NX SoC. Jetson SUB mini PC specifications: NVIDIA Jetson Xavier NX module CPU – 6-core NVIDIA Carmel ARMv8.2 64-bit processor with 6 MB L2 + 4 MB L3 cache GPU – NVIDIA Volta architecture with 384 NVIDIA CUDA cores and 48 Tensor cores Accelerators – 2x NVDLA Engines, 7-Way VLIW Vision Processor Video – Multiple 4Kp60 encode, multiple […]

September 24, 2021August 20, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NVIDIA Jetson Nano/Xavier NX carrier board offers 5 SATA, 6 CSI camera, dual GbE, and more

Leetop A205 Jetson Nano/Xavier NX carrier board

Leetop has introduced two carrier boards for NVIDIA Jetson Nano or Xavier NX modules, with Leetop A205 a full-featured carrier board offering five SATA ports, six MIPI CSI camera interfaces, an M.2 Key E slot, dual Gigabit Ethernet, four USB 3.0 ports, dual HDMI output and more, as well as the more compact Leetop A203 about the size of the modules themselves and offering Gigabit Ethernet, HDMI output, USB 3.0/2.0 ports, a camera interface, and an M.2 slot for optional WiFi and Bluetooth connectivity. We’ll focus on the former in this article, as it offers more features, and the smaller board provides less functionality than the NVIDIA Jetson Nano developer kit at a much higher price, although I understand it can still be useful for space-constrained applications. Leetop A205 specifications: Supported SoMs – NVIDIA Jetson Nano and Jetson Xavier NX Module Compatibility Storage – 5x SATA ports, MicroSD card slot […]

September 6, 2021September 6, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Jetson Nano & Xavier NX carrier board offers 3x M.2 sockets, 10x RS232/RS485 interfaces

Geniatech NVJ100AI/NVJ100AIX is a carrier board fitted with either Jetson Nano or Jetson Xavier NX SoM with good expansion capabilities thanks to three M.2 sockets and ten RS232 and/or RS485 interfaces, plus the usual Gigabit Ethernet, USB ports, HDMI video interface, etc… Geniatech NVJ100AI/NVJ100AIX specifications: SoM Geniatech NVJ100AI – NVIDIA Jetson Nano with CPU – Quad-core Arm Cortex A57 MPCore processor @ up to 1.43 GHz GPU – Maxwell GPU, 128 CUDA core up to 512 GFLOPS (FP16) System Memory – 4GB LPDDR4 Storage – 16GB eMMC flash AI Performance – Up to 472 GFLOPS in 10 Watts mode Geniatech NVJ100AIX – NVIDIA Jetson Xavier NX CPU – Hexa-core NVIDIA Carmel ARMv8.2 64-bit CPU with 6MB L2 + 4MB L3 cache GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores Dedicated AI accelerators – 2x NVDLA Engines, 7-Way VLIW Vision Processor System Memory – 8GB LPDDR4 Storage – 16GB […]

August 26, 2021October 23, 2022 by Jean-Luc Aufranc (CNXSoft) - 17 Comments

Turing Pi V2 mini-ITX cluster board takes four Raspberry Pi CM4 or NVIDIA Jetson SoMs

The Turing Pi V2 is a mini-ITX cluster board that builds on the Turing Pi mini-ITX cluster board taking up to 7 Raspberry Pi Compute Modules introduced in 2019, but instead supports up to four Raspberry Pi CM4 (Compute Modules 4) or NVIDIA Jetson Nano/TX2 NX/Xavier NX SO-DIMM system-on-modules. The Turing Pi 2 board is equipped with two Mini PCIe sockets, two Gigabit Ethernet ports, two SATA III ports, four USB 3.0 ports, a 40-pin GPIO header, and a 24-pin ATX connector for power. Since board-to-board connectors – as found in Raspberry Pi Computer Module 4 – are not ideal for density, the company went with a design including 260-pin SO-DIMM connectors plus CM4 adapter boards, a design that allows them to also integrate other SoMs like the NVIDIA Jetson SO-DIMM modules. Turing Pi V2 specifications: SoM interface – 4x 260-pin SO-DIMM slot for up to four Raspberry Pi CM4 […]

August 13, 2021August 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Xiaomi CyberDog quadruped robot is based on NVIDIA Jetson Xavier NX

We’ve previously written about consumer-grade smart robotic dogs selling for several hundred dollars with Petoi Bittle equipped with Arduino & Raspberry Pi, as well as XGO Mini Pro with Kendryte K210/K510 AI processor. Xiaomi has now launched its own quadruped robot that looks like a dog with the Xiaomi CyberDog equipped with a more powerful NVIDIA Jetson Xavier NX system-on-module (SoM), a larger and heavier body than competing consumer models, and a price tag of a little over $1,500. Xiaomi CyberDog specifications and key features: SoM – NVIDIA Jetson Xavier NXwith an hexa-core NVIDIA Carmel 64-bit Arm processor, a 384-core NVIDIA Volta GPU with 48 Tensor Cores, 2x NVDLA deep learning accelerators delivering a total of 21 TOPS at 15 Watts, 8GB RAM. Storage – 128GB “near” industrial-grade SSD Xiaomi’s in-house developed servo motors offering Maximum torque – Up to 32N·m Rotation speed – Up to 220Rpm Maximum speed – […]

June 16, 2021June 17, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

NVIDIA Jetson AGX Xavier Industrial module adds lockstep Cortex-R5 cluster, ECC RAM, and more

NVIDIA Jetson AGX Xavier is the most powerful module from the Jetson family packing 32 TOPS of AI inference performance. But with some customers wanting to use the embedded AI computer in harsher conditions, the company has now introduced a rugged version of the module with NVIDIA Jetson AGX Xavier Industrial. Some changes included a slightly lower performance (30 TOPS) to cater for an expanded temperature range, a dual-core Cortex-R5 cluster in lockstep, ECC memory, and compliance with shock and vibration standards. NVIDIA Jetson AGX Xavier Industrial specifications with bold highlights showing differences / new features: CPU – 8-core NVIDIA Carmel Arm v8.2 64-bit CPU with 8MB L2 + 4MB L3 GPU – NVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores for up to 20 TOPS (INT8) (Note: the standard version support 22 TOPS) DL Accelerator – 2x NVDLA accelerators for up to 10 TOPS (INT8) […]