A few new stickers for #MARCHintosh on the 2022 MacBook Air.
#Mac #MacBookAir #macOS #Apple #AppleSilicon #sticker #stickers #laptopstickers #laptops #M2 #vintagecomputing #retrocomputing #nomanssky #photo #photograph #computers #Macintosh
Radxa AICore DX-M1M M.2 2242 low-power AI module delivers 25 TOPS of edge AI performance for just 3W of power
Radxa AICore DX-M1M is a compact, low-power M.2 edge AI acceleration module built around the DeepX DX-M1M neural processing unit (NPU) and delivers up to 25 TOPS (INT8) of AI performance while consuming only 3W of power. Designed for industrial robot arms, autonomous mobile robots (ARM), edge servers, drones, and AIoT devices, the module delivers high-performance AI and ML capabilities without blowing the power budget. It relies on a PCIe Gen3 x2 interface and works with both x86 and Arm systems, including the Raspberry Pi 5 and Radxa ROCK SBCs. AICore DX-M1M specifications: AI Accelerator – DeepX DX-M1M neural processing unit (NPU) with up to 25 TOPS AI System Memory – 1GB LPDDR4X @ 4266 MT/s (on-chip, supports up to 8GB according to DeepX) Storage – 1Gbit QSPI NAND / NOR flash Host Interface - PCIe Gen 3.0 x4 (supports Gen 1/2/3 and x1/x2) via M.2 M + B Key connector
AICore DX-M1M Module Provides 25 TOPS Edge AI Acceleration in M.2 Form Factor
LinuxGal: "Hey, Clippy, assume that leftover Saturn IB and Saturn V hardware was not utilized for launching Skylab, or staffing Skylab with crew, or conducting the Apollo-Soyuz Test Project. List all hardware (such as S-IVB stages, or Command Service Modules) that was built or partially built and would have been available for a continuation of the space program during the 1970s."
Clippy:
Games Japan
Blake Patterson
Alain
Kpop in Japan
cnx-software.com
LinuxGizmos.com
🌈 ☯️Teresita🐧👭
nojarama
Nori 🇳🇴