According to the dev who shared the screenshot of his RTX4060 ti running on a Radxa Orion O6 (Arm SystemReady) board they only needed to add the PCIe ID to the driver .inf file and it started to work.
The developer preview is intended for RTX Spark
HN user
Cognitive and Media Science Student at day, #arm #film #tech nerd at night | Also running sbcwiki.com Find me on Github.com/heymeco
According to the dev who shared the screenshot of his RTX4060 ti running on a Radxa Orion O6 (Arm SystemReady) board they only needed to add the PCIe ID to the driver .inf file and it started to work.
The developer preview is intended for RTX Spark
Yet another local transcription tool but this uses Parakeet V3 (with FluidAudio / Apple CoreML under the hood) instead of Whispr and allows for easy diarization (speaker detection) and quality control of the result through an HTML interface.
This tool is a result of me realising there are no real options for interview transcriptions with speaker detection that can be used in an university study evaluation context where you do not upload the data into a someone’s else’s cloud with questionable privacy policies.
Feature summary:
- Diarized transcription — identifies speakers and assigns words to each speaker
- Plain-text output with timestamps and speaker labels
- Interactive HTML with: Color-coded speaker segments Word-level highlighting synced to playback - Click any word or segment to seek in the audio
- Rename speakers
- Built-in audio player (with playback speed selection)
Yeah fell into the same trap. Super annoying
They’re independent
Xcancel Link: https://xcancel.com/nvidia/status/2060390710797328574
Interesting takeaway:
"Was it faster than doing it solo? Probably yes, on the order of 3–5× for the work captured in these transcripts, with the speedup concentrated in:
Mass refactor / rename work (10× or more — Claude can rename a function and update 200 call sites in minutes). Code review breadth (subagent fan-out reads more files per hour than any human can). Performance analysis writeups (the “table of metrics + paragraph of prose” format is something Claude is genuinely good at and is tedious for humans)."
Jellyfin is so much ahead when it comes to hardware acceleration on different platforms that it is actually sad to see how Plex has not made any improvements in years
So today I found out the cheapest E27 smart bulb that is 1500lm bright and >90cri is actually an Ikea Kajplats Matter over Thread bulb that costs 9.99€
And it has one trick up its sleeve:
▶ If you turn it off and on 12x times it switches to a zigbee mode so I was able to integrate it into my existing HomeAssistant setup even easier
ML-1740 is supported by the driver available here: https://www.bchemnet.com/suldr/index.html Works on my arm64 sbc as a cups printer for another samsung printer
The non marketing fluff version of the press release can be found here: https://news.ycombinator.com/item?id=47506641
They actually said it’s coming in 2027 and ARM-AGI-3 is marked as future https://xcancel.com/mecoscorner/status/2036510613350785418
It really is a choice for Arm to use their 2023 based mobile X4 cores instead of their current C1 Ultras for this. Hopefully they step up quickly
I wonder what the people at Ampere are thinking right now
This is my condensed version for the SBCwiki documentation focused on the key facts without all the unnecessary marketing around it
Instant Grep 13ms vs 16.8s ripgrep seems very useful
What we knew so far about the Arduino Ventuno Q:
- CPU: Octa-core with 4x A78 and 4x A55 - GPU: Adreno A623 - NPU: 40 TOPS dense Int8 - Wifi 6 (2.4/5/6GHz) & 2.5GbE LAN - 3x MIPI cameras at once
What is new:
- GeekBench 6: On Par with QCS6490 used in Radxa Dragon Q6A which starts at $70
- 6x faster than Arduino Uno Q
- 1/2 the performance of IQ9 series (all big core)
- Supports AV1 decoding and H265 / H264 encoding
- Further elaborated in the article
In the past you had to run the benchmark via an x86 translation layer like Fex / Box64 to get the Vulkan GPU benchmark. This was not reliable and led to crashes on some platforms. Thankfully we can run it native now
I stumbled upon the VChance SU13 (here the SU13TO for the touch enabled variant) which advertises 100% P3, 4K resolution and a maximum brightness of 500 nits and this AliExpress find got me intrigued.
In the review I take a deep dive into calibrating this monitor and figuring out if it can keep its promise (spoiler it can but you have to know how).
Review on the Radxa Dragon Q6A Single Board Computer that wants to compete against Raspberry Pi's offering not only in performance but also software
For Linux / ChromeOS: GPU drivers benefit heavily: - Freedreno for Qualcomm - Panthor for Arm Mali
Lots of Linux contributions for Rust drivers
They hired Linaro (Linux Consultancy) for it so not just a side project
Great accomplishment from the developers. Being announced in July and already running gnome and games. 2026 is going to become very interesting
Ideally things are going to adapt the Mesa Teflon framework. See here: https://docs.mesa3d.org/teflon.html
Available for NXP IMX8M, Amlogic A311D and RK3588
First of all thank you everybody for reading and commenting! I want to address some of the comments I got regarding the article:
- xyz vendor is not covered: For this there is a simple answer, I don't have the hardware so I can't make a fair judgement when reporting about it. I don't want to be another reporter of basic benchmark scores & 1080P Youtube playback but actually show off the hardware capabilties with the right software. Hopefully this will be possible with more in the future as this project grows
- This is only one sector of the space why don't you have micro controllers or x86: While I want to cover all aspects of the space I am not an embedded engineer. I started during covid with the goal to replace my X86 homelab server with an ARM one to save power and got deeper into the rabbit hole until I ended up maintaining some boards and doing some Debian/Ubuntu based bring ups in my freetime. This led to me wanting to have one place to share my findings along the way and document things that might leave one stranded in the world of Yocto/U-Boot/Linux Kernel/Device-Trees/etc. and I created sbcwiki.com, not only for me to share my findings but for others to contribute with simple markdown files to the GitHub repo too.
In this format I go deep down the Mailing lists, news articles and more to summarise what exciting hardware has been published and software has been merged into Linux. Also breaking down rumours and developer conferences about future SoC‘s. Hope you all find it useful!
Love when actually useful sites appear. Fits the same category of sites like the one LTTLabs is working on
Think of the photos app on your phone and it’s "intelligent" search bar
Rkvdec H264 and H265 are sent in and work in test environments https://lore.kernel.org/lkml/b1d79707-59b2-4dc0-9d15-49b5ec4...
Delivering double digit IPC improvements (looks like the industry is still competitive). > The Arm C1 Ultra CPU aims for +25% single-threaded performance and double-digit IPC gains
The new Mali GPU's look not bad too with +20% performance while 9% more power efficient.
And SME2-enabled Armv9.3 cores for on device AI doesn’t sound bad either