Realtek USB Ethernet drivers page
RTL8159 RTL8154 / RTL8154B RTL8157 RTL8156 / RTL8156B(G) RTL8153 / RTL8153B / RTL8153C / RTL8153D / RTL8153E RTL8154 / RTL8154B RTL8152B

10G Gigabit Ethernet > USB 3.2 Gen2
RTL8159

5G Gigabit Ethernet > USB 3.2 Gen2
RTL8157

2.5G Gigabit Ethernet > USB 3.0
RTL8156 / RTL8156B(G)

10/100/1000M Gigabit Ethernet > USB 3.0
RTL8153 /RTL8153B/ RTL8153C/ RTL8153D/ RTL8153E

10/100/1000M Gigabit Ethernet > USB 2.0
RTL8154 / RTL8154B

10/100M Fast Ethernet > USB 2.0
RTL8152B

https://www.realtek.com/Download/List?cate_id=585

#drivers #ethernet #usbethernet #realtek #ethernetusb #driver #gb10 #10gb #25gb #1gbps #5gbps #gbps

Realtek

#Nvidia's #N1/#N1X chips leak once again, this time tipped for release in first half of 2026 — hotly-anticipated chips to debut on #Dell and #Lenovo #laptops
N1 and N1X chips are Arm #SoC from Nvidia, purportedly featuring up to 20 CPU cores and rumored #RTX5070-level integrated GPU. Jensen Huang confirmed that #GB10 Superchip powering #DGX #Spark is actually based on N1 silicon, so it's already out there... just not with the gaming-focused slant we expect from the N1.
https://www.tomshardware.com/pc-components/cpus/nvidias-n1-n1x-chips-leak-once-again-this-time-tipped-for-release-in-first-half-of-2026-hotly-anticipated-chips-to-reportedly-debut-on-dell-and-lenovo-laptops
Nvidia's N1/N1X chips leak once again, this time tipped for release in first half of 2026 — hotly-anticipated chips to reportedly debut on Dell and Lenovo laptops

N1 silicon is finally right around the corner.

Tom's Hardware

Dell's new Pro Max workstation, powered by the GB10 chip, brings on‑device AI to the edge—supporting massive 70‑billion‑parameter models without a cloud. Paired with NVIDIA’s Grace Blackwell architecture, it promises developers full freedom to train and run AI locally. Discover how this could reshape edge AI workflows. #DellProMax #GB10 #OnDeviceAI #GraceBlackwell

🔗 https://aidailypost.com/news/dell-launches-pro-max-gb10-support-ondevice-ai-development

I see a lot of blank, outright rejection of #AI, LLMs general or coding LLMs like #ClaudeCode in special here on the Fediverse.
Often, the actual impact of the AI / #LLM in use is not even understood by those criticizing it, at times leading to tantrums about AI where there is....no AI involved.

The technology (LLM et al) in itself is not likely to go away for a few more years. The smaller #ML variations that aren't being yapped about as much are going to remain here as they have been for the past decades.
I assume that what will indeed happen is a move from centralized cloud models to on-prem hardware as the hardware becomes more powerful and the models more efficient. Think migration from the large mainframes to the desktop PCs. We're seeing a start of this with devices such as the ASUS Ascent #GX10 / #Nvidia #GB10.

Imagine having the power of #Claude under your desk, powered for free by #solar cells on your roof with some nice solar powered AC to go with it.

Would it not be wise to accept the reality of the existence of this technology and find out how this can be used in a good way that would improve lives? And how smart, small regulation can be built and enforced that balances innovation and risks to get closer to #startrek(tm)?

Low-key reminds me of the Maschinenstürmer of past times...

Dell Pro Max GB10: Data Center Power On Your Desktop - Tech News Century

Today’s top-spec desktop setups—like Dell’s own Pro Max with 96GB of GPU VRAM—tap out around 45 billion parameters. That’s impressive, but not enough for

Tech News Century
#Nvidia unveils #DGX Station workstation PCs with #GB300 #BlackwellUltra inside
By launching its #DGXStation based on the GB300 Desktop Superchip platform as well as the #DGXSpark powered by the #GB10 #GraceBlackwell Superchip, Nvidia sets the stage for its #Arm-based desktop workstation platforms that will be aimed at broader market segments beyond data scientists, researchers, and software developers.
https://www.tomshardware.com/tech-industry/artificial-intelligence/nvidia-unveils-dgx-station-workstation-pcs-gb300-blackwell-ultra-inside #ProjectDIGITS
Nvidia unveils DGX Station workstation PCs with GB300 Blackwell Ultra inside

Well, AI workstations.

Tom's Hardware
#NVIDIA #ProjectDIGITS Explained: #AI Power in a Compact $3,000 Package
At the heart of Project DIGITS is NVIDIA #GB10 Superchip, a system-on-a-chip (SoC) that delivers up to 1 petaflop of AI performance at #FP4 precision. The GB10 combines an NVIDIA Blackwell GPU with next-generation #CUDA cores, Tensor Cores, and a high-performance NVIDIA Grace CPU featuring 20 power-efficient Arm-based cores. Each system includes 128GB of unified memory and up to 4TB of NVMe storage.
https://www.storagereview.com/news/nvidia-project-digits-explained-ai-power-in-a-compact-package
NVIDIA Project DIGITS Explained: AI Power in a Compact Package

NVIDIA Project DIGITS: The Smallest AI Supercomputer — Grace Blackwell-powered, $3,000, petaflop-class AI performance. Available May 2025.

StorageReview.com