SagireEdge AI 600 SMARC SoM and devkit feature Qualcomm QCS6490 AIoT processor for Edge AI applications

Qualcomm QCS6490 SMARC SoM

Sagire AI’s SagireEdge AI 600 is a SMARC-compliant system-on-module (SoM) and a development kit based on Qualcomm QCS6490 octa-core Cortex-A78/A55 IoT processor and designed for Edge AI applications. The module comes with 8GB LPDDR5 and 128GB UFS storage, a WiFi 6E and Bluetooth 5.5 wireless module, a CAN Bus controller, and on-module camera and audio input connectors. Its MXM 3.0 edge connector exposes additional camera interfaces, a MIPI DSI display interface, PCIe Gen3 x2, gigabit Ethernet, a few USB interfaces, and a range of low-speed I/Os. SagireEdge AI 600 SoM specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – […]

Linux 6.10 Release – Notable changes, Arm, RISC-V, and MIPS architectures

Linux 6.10 Release Changelog

Linux Torvalds has announced the release of Linux 6.10 on LKML: So the final week was perhaps not quote as quiet as the preceding ones, which I don’t love – but it also wasn’t noisy enough to warrant an extra rc. And much of the noise this last week was bcachefs again (with netfs a close second), so it was all pretty compartmentalized. In fact, about a third of the patch for the last week was filesystem-related (there were also some btrfs latency fixes and other noise), which is unusual, but none of it looks particularly scary. Another third was drivers, and the rest is “random”. Anyway, this obviously means that the merge window for 6.11 opens up tomorrow. Let’s see how that goes, with much of Europe probably making ready for summer vacation. And the shortlog below is – as always – just the last week, not some kind […]

Snapdragon Dev Kit for Windows features Qualcomm Snapdragon X Elite Arm SoC for AI PC application development

Snapdragon Dev Kit for Windows

Qualcomm Snapdragon Dev Kit for Windows is a mini PC-looking development platform based on the Snapdragon X Elite 12-core Arm processor with up to 75 AI TOPS of performance designed to help developers natively port apps to the Elite X SoC and develop new AI applications besides the Copilot+ AI PC features developed internally by Microsoft. Although it’s slightly bigger, the external design looks similar to the Windows Dev Kit 2023 with a  Qualcomm Snapdragon 8cx Gen 3 compute platform, but internally, the new devkit features the much more powerful 4.3 GHz X Elite 12-core 64-bit Armv8 Oryon processor coupled with 32GB LPDDR5x RAM and 512GB NVMe SSD, and offering a range of ports and features such as USB4 and WiFi 7. Snapdragon Dev Kit for Windows (2024) specifications: SoC – Snapdragon X Elite (X1E-00-1DE) CPU – 12-core 64-bit Armv8 Oryon processor clocked at up to 3.8 GHz, or 4.3 […]

Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

QCS6490 Vision AI Development Kit

Just last month at Embedded World 2024, Qualcomm announced its RB3 Gen 2 Platform based on the QCS6490 processor with Cortex-A78 and A55 processing cores and 12 TOPS of AI power. Building on this, Avnet has recently launched the Avnet AI Vision Development Kit, also based on the QCS6490 SoC. The kit includes a dual camera setup, Gigabit Ethernet connectivity, USB-C Power Delivery, and a host of other features for applications like inventory and asset monitoring, drone/UAV/other mobile vision-AI edge compute applications, and multi-camera security systems with recognition. Previously we have written about similar AI dev kits including Allwinner V853 100ASK-V853-Pro, Sipeed Maix-III devkit, RZBoard V2L, and many other AI vision development boards feel free to check those out if you are interested in the topic. Avnet AI Vision Development Kit specifications SM2S-QCS6490 SMARC Compute Module: CPU – 4x Arm Cortex-A78 (up to 2.7 GHz), 4x Arm Cortex-A55 (up to […]

Linux 6.9 release – Main changes, Arm, RISC-V, and MIPS architectures

Linux 6.9 release

Linus Torvalds has just announced the release of Linux 6.9 on LKML: So Thorsten is still reporting a few regression fixes that haven’t made it to me yet, but none of them look big or worrisome enough to delay the release for another week. We’ll have to backport them when they get resolved and hit upstream. So 6.9 is now out, and last week has looked quite stable (and the whole release has felt pretty normal). Below is the shortlog for the last week, with the changes mostly being dominated by some driver updates (gpu and networking being the big ones, but “big” is still pretty small, and there’s various other driver noise in there too). Outside of drivers, it’s some filesystem fixes (bcachefs still stands out, but ksmbd shows up too), some late selftest fixes, and some core networking fixes. And I now have a more powerful arm64 machine […]

Qualcomm RB3 Gen 2 Platform with Qualcomm QCS6490 AI SoC targets robotics, IoT and embedded applications

Qualcomm RB3 Gen 2 Platform Vision Kit

Qualcomm had two main announcements at Embedded World 2024: the ultra-low-power Qualcomm QCC730 WiFi microcontroller for battery-powered IoT devices and the Qualcomm RB3 Gen 2 Platform hardware and software solution designed for IoT and embedded applications based on the Qualcomm QCS6490 processor that we’re going to cover today. The kit is comprised of a QCS6490 octa-core Cortex-A78/A55 system-on-module with 12 TOPS of AI performance, 6GB RAM, and 128GB UFS flash connected to the 96Boards-compliant Qualcomm RBx development mainboard through interposer, as well as optional cameras, microphone array, and sensors. Qualcomm QCS6490/QCM6490 IoT processor Specifications: CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – Hexagon […]

Qualcomm QCC730 low-power Arm Cortex-M4F WiFi 4 SoC targets battery-powered IoT applications

Qualcomm QCC730 dual WiFi IoT microcontroller

Qualcomm has unveiled the “micro-power” QCC730 Arm Cortex-M4F dual-band WiFi 4 microcontroller for the IoT market that targets similar applications as the Espressif ESP32 microcontrollers but potentially at lower power consumption with claims of up to 88% lower power than “previous generations” making it suitable for battery-powered industrial, commercial and consumer applications. To highlight the low-power consumption, the company also mentions that QCC730 devices could become high-performance alternatives to Bluetooth IoT solutions with direct cloud connectivity. Qualcomm QCC730 specifications: CPU core – Arm Cortex-M4F @ 60 MHz Memory/ Storage 1.5 MB RAM, including 600KB for user app (On-chip RRAM (NVM) to host application without the need for an external NOR flash) 640 KB SRAM, including 260KB for user app XiP over QSPI Flash Wi-Fi Standards: 802.11b, 802.11g, 802.11n, 802.11a Spectral Bands: 2.4 GHz, 5 GHz Channels: 20 MHz Antenna Configuration: 1×1 Features: up to MCS3 Interfaces – Master I2C, 15x […]

8devices TobuFi SoM is designed for drones, robotics, and advanced audio systems

8devices TobuFi SoM

8devices has recently introduced TobuFi, a Qualcomm QCS405-powered System-on-Module (SoM) featuring dual-band Wi-Fi 6 and Wi-Fi 5 capabilities. The device also features 1GB LPDDR3, 8GB of eMMC storage, and multiple display resolutions. It also offers various interfaces, including USB 3.0, HDMI, I2S, DMIC, SDC, UART, SPI, I2C, and GPIO. In previous posts, we covered 8devices product launches like the Noni M.2 WiFi 7 module, Rambutan and Rambutan-I modules, Habanero IPQ4019 SoM, Mango-DVK OpenWrt Devkit, and many more innovative products. If you’re interested in 8devices, feel free to check those out for more details. 8devices TobuFi SoM specifications: SoC – Qualcomm QCS405 CPU – Quad-core Arm Cortex-A53 at 1.4GHz; 64-bit GPU – Qualcomm Adreno 306 GPU at 600MHz; supports 64-bit addressing DSP – Qualcomm Hexagon QDSP6 v66 with Low Power Island and Voice accelerators Memory – 1GB LPDDR3 + 8GB eMMC Storage 8GB eMMC flash SD card – One 8-bit (SDC1, 1.8V) and one […]

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