The z386 project aims to implement the Intel 80386 processor core on an FPGA. Recent optimizations have significantly improved its performance, including the implementation of early start memory access and a reduction in branch jump cycles from 9.25 down to six through microcode refinements. These changes resulted in approximately a 39% increase in DOOM benchmark scores, though the project still falls short of original hardware speed and cannot yet boot Windows.
- Implementation of early start memory access for FPGA cores
- Optimization of store queues and branch jump timing
- Significant performance gains in gaming benchmarks
- Implementation of early start memory access for FPGA cores
- Optimization of store queues and branch jump timing
- Significant performance gains in gaming benchmarks
Meta is addressing high DDR5 memory costs by repurposing legacy DDR4 modules from decommissioned servers. Through a custom-developed Vistara ASIC, the company can attach old DDR4 memory to modern servers running AMD EPYC Turin processors that natively only support DDR5. This CXL 2.0 implementation allows for expanded memory capacity by using DDR4 as a secondary, slower tier for cold data while keeping frequent data in fast DDR5.
- Meta's Vistara ASIC bridges legacy DDR4 with modern DDR5 servers
- CXL 2.0 technology enables tiered memory management via NUMA nodes
- Panmnesia offers scalable CXL controller and switch solutions for data centers
- Strategy aims to mitigate rising DRAM prices and hardware costs
- Meta's Vistara ASIC bridges legacy DDR4 with modern DDR5 servers
- CXL 2.0 technology enables tiered memory management via NUMA nodes
- Panmnesia offers scalable CXL controller and switch solutions for data centers
- Strategy aims to mitigate rising DRAM prices and hardware costs
>"Orange Pi is an open source single-board card computer, a new generation of arm64 development board, which can run operating systems such as Android TV 12, Ubuntu and Debian. The Orange Pi Zero 2w development board uses the Allwinner H618 system-on-chip, and can optionally have 1GB or 1.5GB or 2GB or 4GB LPDDR4 memory."
This page provides download options and build information for the Orange Pi Zero2W board using Armbian. It features a Debian Minimal variant based on Debian 13 trixie with kernel version 6.18.26. Users can download the image directly or via torrent, and instructions are included for building the image from source using the Armbian framework.
Main topics:
- Available software variants and distributions
- Kernel version information
- Download links and file sizes
- Instructions for manual builds from source
Main topics:
- Available software variants and distributions
- Kernel version information
- Download links and file sizes
- Instructions for manual builds from source
Linux kernel developer Greg Kroah-Hartman has introduced a new fuzzing tool and AI bot named gregkh_clanker_t1000 that is actively uncovering bugs within the Linux kernel. The tool has already assisted in merging nearly two dozen patches for various subsystems including ALSA, HID, SMB, Nouveau, and IO_uring. Notably, this AI operates as a local large language model (LLM) running on a Framework Desktop powered by AMD Ryzen AI Max (Strix Halo), rather than relying on cloud-based services.
Key points:
* The gregkh_clanker_t1000 tool has contributed numerous bug fixes to the mainline kernel since early April.
* The system utilizes local LLM processing for privacy and efficiency.
* Hardware setup involves a Framework Desktop with AMD Ryzen AI Max+ Strix Halo.
* Emphasis on using an open-source software stack for demanding AI workloads.
Key points:
* The gregkh_clanker_t1000 tool has contributed numerous bug fixes to the mainline kernel since early April.
* The system utilizes local LLM processing for privacy and efficiency.
* Hardware setup involves a Framework Desktop with AMD Ryzen AI Max+ Strix Halo.
* Emphasis on using an open-source software stack for demanding AI workloads.
The Orange Pi Zero 3W is a new compact single-board computer measuring 65 x 32 mm. It features the Allwinner A733 octa-core processor, combining Cortex-A76 and Cortex-A55 cores with an integrated NPU for AI workloads and a RISC-V coprocessor for real-time tasks. The board supports up to 16GB of LPDDR5 memory and offers versatile display options including Mini HDMI, MIPI-DSI, and DisplayPort via USB-C.
* Allwinner A733 SoC with octa-core CPU and 3 TOPS NPU
* Up to 16GB LPDDR5 RAM support
* Connectivity includes Wi-Fi 6, Bluetooth 5.4, and PCIe 3.0
* Multiple display outputs supporting up to 4K resolution
* Support for Android, Debian, Ubuntu, and OpenHarmony
* Allwinner A733 SoC with octa-core CPU and 3 TOPS NPU
* Up to 16GB LPDDR5 RAM support
* Connectivity includes Wi-Fi 6, Bluetooth 5.4, and PCIe 3.0
* Multiple display outputs supporting up to 4K resolution
* Support for Android, Debian, Ubuntu, and OpenHarmony
A specialized ADS-B Software Defined Radio (SDR) kit designed for aircraft tracking using a Raspberry Pi. This blue R820T2 RTL2832U model features high stability with 0.5 PPM TCXO to prevent frequency drift and includes an onboard 1090 MHz filter and amplifier for enhanced signal range. The package comes with a purpose-built 8 inch 5 dBi antenna, an aluminum heat-dissipating case, and industrial-grade microSD software pre-loaded for easy setup via web browser without command line work.
Key features:
- Plug-and-play configuration via WiFi/web browser
- Integrated 1090 MHz filter and amplifier
- High-reliability industrial grade microSD card
- Aluminum case for heat dissipation and interference reduction
- Drop-in replacement for FlightAware Pro Stick Plus
Key features:
- Plug-and-play configuration via WiFi/web browser
- Integrated 1090 MHz filter and amplifier
- High-reliability industrial grade microSD card
- Aluminum case for heat dissipation and interference reduction
- Drop-in replacement for FlightAware Pro Stick Plus
The Metis M.2 card is a high-performance AI inference accelerator designed for constrained, small-footprint devices. Powered by a single quad-core Metis AIPU, it enables state-of-the-art AI capabilities including multi-camera inference and support for multiple independent parallel neural networks. The card offers seamless integration via the Voyager SDK and maintains high prediction accuracy through advanced quantization tools.
This article provides a guide on building a DIY high-end Bluetooth speaker in only 30 minutes using an ESP32 and simple hobbyist components. Using a LILYGO T-Display board, which supports the Bluetooth Classic protocol required for A2DP audio streaming, the project pairs with a MAX98357A module to act as a digital-to-analog converter and amplifier. The setup uses the I2S interface for audio transmission and can even display track information and connection status on the onboard TFT screen. It is an excellent, quick project for electronics enthusiasts looking to repurpose spare parts into a functional, polished audio device.
AMD now supports Google’s Gemma 4 models (2B–31B parameters) across its entire hardware lineup, including Instinct GPUs (datacenters), Radeon GPUs (workstations), and Ryzen AI processors (PCs). The integration is compatible with vLLM, SGLang, llama.cpp, Ollama, and Lemonade Server, aiming to optimize AI performance for both cloud and local deployment.
