Together with Toradex, we're helping bring Edge AI workloads closer to the hardware.
At Embedded World, Collabora's Guy Lunardi, VP Business Development, walks through our NPU enablement work on the TI AM69, powered by Toradex hardware and Torizon OS, showing how Edge AI can move from prototype to production: faster inference, scalable deployments, and hardware-level integration that just works.
See it in action 👇
🎥 https://www.toradex.com/videos/collabora-npu-enablement-edge-ai-ti-am69
#JetsonNano is going to EOL .
Looking for alternatives？
RK3588 AI Module7 (AIM7) 8+128GB version. Coming in August.
👉https://docs.armsom.org/armsom-aim7
SpacemiT K3 Pico-ITX RISC-V Chassis Kit Review – Part 2: What works, what doesn’t in Bianbu OS 4.0
Last month, I received the SpacemiT K3 Pico-ITX Chassis Kit based on the company's K3 16-core RISC-V SoC, and started the review with an unboxing, a teardown, and a first boot to Bianbu OS 4.0. Since the system features a 10Gbps Ethernet SFP+ cage, I also had to order a 10GbE SFP+ to Copper adapter, as my 10GbE networking gear is exclusively based on RJ45 ports. In this review, I'll check system information in Bianbu OS 4.0.1, run a few benchmarks, test 10GbE, GbE, and WiFi 6 networking performance, play YouTube videos at various resolutions, run AI workloads (LLM), check all/most features work as expected, and measure the power consumption of the SpacemiT K3 "Pico-ITX Chassis Kit" mini PC. Bianbu OS 4.0 System Information Before running anything, I updated the system: 594 packages were updated. For reference, the update also involved updating the EC (Embedded Controller) firmware: Let's double-check the
🚀 La Arduino® UNO™ Q 4GB rompe el esquema tradicional de las placas de desarrollo al meter 4GB de RAM y un procesador capaz de correr Linux completo en el clásico formato UNO.
Casos de uso: Ideal para Edge AI (inteligencia artificial en el borde), servidores IoT compactos, visión computacional local o nodos avanzados de automatización que requieren bases de datos en tiempo real. 🧠🤖
RT @datavorous_: Ich habe den NPU-Compiler von Qualcomm reverse-engineered, um undokumentiertes Verhalten zu finden, das jede Edge-AI-Implementierung betrifft.
mehr auf Arint.info
#AIHardware #EdgeAI #MachineLearning #NPU #Qualcomm #ReverseEngineering #arint_info
<p>RT @datavorous_: Ich habe den NPU-Compiler von Qualcomm reverse-engineered, um undokumentiertes Verhalten zu finden, das jede Edge-AI-Implementierung betrifft.</p> <p><a href="https://arint.info/@Arint/116777619020721665">mehr</a> auf <a href="https://arint.info/">Arint.info</a></p> <p>#AIHardware #EdgeAI #MachineLearning #NPU #Qualcomm #ReverseEngineering #arint_info</p> <p><a href="https://x.com/datavorous_/status/2067961873195229671#m">https://x.com/datavorous_/status/2067961873195229671#m</a></p>
UP WCL – A credit card-sized Wildcat Lake SBC with up to 24GB LPDDR5, 256GB UFS
AAEON's UP WCL is an upcoming credit card-sized single board computer (SBC) powered by an Intel Wildcat Lake processor up to the Core 7 350 hexa-core CPU paired with up to 24GB LPDDR5 and 256GB UFS storage. The board also features an HDMI 2.1 video output, a 2.5GbE RJ45 jack, an M.2 Key-E socket for optional WiFi and Bluetooth connectivity, three USB 3.2 ports, and a few wafers for I/O expansion. AAEON UP WCL specifications: Wildcat Lake SoC (one or the other) Intel Core 3 304 5-core CPU – 1x P-cores @ 1.5/4.3 GHz (Turbo) + 4x LPE-cores @ 1.4/3.3 GHz (Turbo) GPU – 1-core Intel Xe3 Graphics @ 2.3 GHz (9 TOPS) NPU – 15 TOPS Intel Core 5 320 6-core CPU – 2x P-cores @ 1.5/4.6 GHz (Turbo) + 4x LPE-cores @ 1.4/3.4 GHz (Turbo) GPU – 2-core Intel Xe3 Graphics @ 2.5 GHz (20 TOPS) NPU –
Amlogic A311Y3 octa-core Edge AI SoC features Cortex-A78/A55 cores, 8 TOPS NPU, LPDDR5 support
Amlogic has introduced the A311Y3 Edge AI SoC, which seems to be an upgrade over earlier designs such as the A311D and A311D2 used in boards like the Khadas VIM3 and Khadas VIM4. Although not listed on the official Amlogic website, documentation from vendors such as Shenzhen Tomato Technology indicates that the A311Y3 SoC is built around a 6nm process node and features a newer CPU architecture based on Arm Cortex-A78/A55 cores. The SoC integrates an NPU with up to 8 TOPS of compute performance and supports LPDDR5/LPDDR5X memory, which can be used in both processing and Edge AI, compared to earlier A311-series chips. Amlogic A311Y3 specifications CPU 2x Arm Cortex-A78 cores (64KB L1 I-cache, 64KB L1 D-cache, 256KB L2 cache) 6x Arm Cortex-A55 cores (32KB L1 I-cache, 32KB L1 D-cache, 128KB L2 cache) with a shared 2MB L3 cache Neon and Crypto extensions included Co-processors – RISC-V core for system control processing; Built-in
Zhihe A210 octa-core RISC-V SoC with 12 TOPS NPU powers SoM-based development board
Last year, we noted three upcoming high-performance RISC-V SoCs to watch out for: Zhihe A210, SpacemiT K3, and UltraRISC UR-DP1000. The K3 has already been launched, and I'll work on the K3-Pico-ITX SBC/mini PC review this coming weekend, while the UR-DP1000 is (still?) expected on the Milk-V Titan motherboard. However, we did not have that many details about the Zhihe A210 so far. This has now changed since documentation has surfaced for the Zhihe A210 and a development kit (A210 SODIMM V2) based on a carrier board and a system-on-module itself powered by the octa-core RISC-V processor. Let's have a look at both. Zhihe A210 octa-core RISC-V SoC Zhihe A210 specifications: CPU - Octa-core RISC-V RV64GCV processor 4x 64-bit RISC-V C920 cores @ up to 2.3 GHz with 64 KB I Cache and 64 KB D Cache for each core, 1 MB L2 cache; note: 1.9 GHz is also shown
Join us tomorrow for our low-latency ML video analytics demo on the Ryzen AI Max 300 Series at the AMD Embedded Computing Summit! 📊 ⚽️
See you in Eindhoven! https://col.la/amdsummit26
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