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#edgecomputing

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In a surprise move, NVIDIA is bringing CUDA to RISC-V CPUs 💥
Announced at RISC-V Summit China , this allows RISC-V processors to run CUDA drivers + logic, with NVIDIA GPUs handling compute tasks ⚙️
Enables open CPU + proprietary GPU AI systems—big for edge, HPC & China’s chipmakers 🇨🇳

A potential shift in global AI infrastructure 🌐

@itsfoss

news.itsfoss.com/nvidia-cuda-r

It's FOSS News · In a Surprise Move, NVIDIA Brings CUDA to RISC-V ProcessorsA surprise collaboration, I must say.

Had a great time at @opensuse Conference 2025 in Nuremberg! A highlight was the hands-on workshop by @tropicsquar, showcasing #TROPIC01 — the first open and auditable secure element. A big step for verifiable hardware #security in #Linux systems, edge devices & secure infrastructure.

Thanks to the Tropic Square team for the great session and the devkit

#HardwareSecurity #OpenSource #EdgeComputing #TROPIC01 #TrustedHardware #SecureChips
#IoTSecurity #NoObscurity #OpenHardware #linux #opensource

Replied in thread

@christianp

Just a thought, from a knuckle-dragging biology scientist. TL;DR: I believe there is scope to make the hosting of a peertube instance even more lightweight in the future.

I read some time ago of people using #webAssembly to transcode video in a user's web-browser. blog.scottlogic.com/2020/11/23

Since then, I believe #WebGPU has done/is doing some clever things to improve the browser's access to the device's GPU.

I have not seen any #peertube capability that offloads video transcoding to the user in this way.

I imagine, though, that this would align well with peertube's agenda of lowering the bar to entry into web-video hosting, so I cannot help but think that this will come in time.

My own interest is seeing a #Piefed (activitypub) instance whose web-pages could #autotranslate posts into the user's own language using the user's own processing power... One day, maybe!

Thank you again for all your hard work; it is an inspiration.

Scott LogicIn-browser transcoding of video files with FFmpeg and WebAssemblyThe WebAssembly build of FFmpeg allows you to run this powerful video processing tool directly within the browser. In this blog post I explore FFmpeg.wasm and create a simple client-side transcoder that streams data into a video element, with a bit of RxJS thrown in for good measure.

#Whisper #WebGPU by #Huggingface sounds very exciting!

Does this mean an #activitypub server could delegate translation-into-user's-language of all the posts to the user's device?

I'm too thick to have been able to find any system-requirements information for just the text-translation feature... Is this #translation feature likely to fly on mobile devices too?

Am I getting too excited too soon?

dev.to/proflead/real-time-audi

github.com/keatonkraiger/Whisp

DEV CommunityReal-Time Audio to Text in Your Browser – Whisper WebGPU TutorialIn this article, I’m going to show you how you can easily transcribe audio and video files on your...
Replied in thread

@ramin_hal9001 OFC this mostly considers stuff in /etc/, /opt/, ... and is intended to be an explicit "opt-in" - style configuration managment.

For me it's more of a way to find a better & simpler alternative to #Ansible that doesn't require me to install something on the target #Server (or "#EdgeComputing node") and "just works"...

Agora entendi! :blobeyes:

"O Edge Datacenter o mais perto das unidades geradoras de energia não sobrecarrega as linhas de transmissão nacionais que hoje são problemáticas"

"Mais de 80% da demanda de energia do Brasil já poderia ser suprida por energia renováveis, mas hoje as linhas de transmissão não dão conta"

"O Ceará hoje gera sobras de energia eólica, mas não é possível repassar pro Brasil devido aos problemas nas linhas de transmissão"

"Também tem um overload de rede causada pelo uso de painéis fotovoltaicos"

"Datacenters de borda serviriam para armazenar excedentes de energia ou gastá-la quando há demanda de processamento"

O Edge Datacenter pode atuar de modo similar às usinas termelétricas, só que suprindo cargas de processamento de modo distribuído, com baixo impacto ambiental e ainda ajudando no equilíbrio das redes de transmissão elétrica.

Referencia:

Bárbara Pizzolato - Huawei]
Lucenildo Lins - Angola Cables

Every Tuesday at 11:00am ET, join the pgEdge team for #TechTuesday — all about mastering Distributed #PostgreSQL high availability, and edge-ready database solutions. Whether you’re scaling apps or seeking zero downtime, these sessions are packed with hands-on insights, real-world demos, and live Q&A with the experts.

Don’t miss out! Learn more here: hubs.la/Q03qbnT70

Join us on Tuesday at 11am ET here: hubs.la/Q03qbltY0

hubs.laTech TuesdaysTune in every Tuesday to join our Postgres experts and distributed Postgres solution architects

Cooling at the Edge with DUG

Modern AI servers generate a lot of heat, but the industry is ready with revolutionary technologies like immersion cooling. This episode of Utilizing Tech features Micah Jordan from DUG, discussing specialized server solutions with Jeniece Wnorowski of Solidigm and Stephen Foskett. Although it sounds exotic, companies like DUG have been using immersion cooling for decades. Once they proved the value of the technology in their own datacenter, DUG began delivering immersion cooled containers wherever they are needed, especially at the edge. This uniform and efficient cooling allows servers to work harder while also extending their lifespan and reducing the risk of component failure. DUG’s containerized AI racks are being deployed around the world closer to users, lowering the latency and enabling rapid response to demands. DUG is working with partners like Hypertec to build, certify, and support immersion cooling for end customers, achieving higher density and lower energy consumption.

https://youtu.be/5_M82uH4U9E?si=8PPe8QKVui3mNisQ

Apple Podcasts || Spotify || More Audio Links || YouTube Channel

Guest:

Micah Jordan is an Account Executive at DUG. You can connect with Micah on LinkedIn and learn more about DUG on their website.

Podcast Information

Stephen Foskett is the Organizer of the Tech Field Day Event Series and President of the Tech Field Day business unit, part of The Futurum Group. Connect with Stephen on LinkedIn and follow him on X/Twitter, on Mastodon, or on Bluesky. Learn more about Tech Field Day and information on upcoming events on their website.

Jeniece Wnorowski is the Datacenter Product Marketing Manager and Head of Influencer Marketing at Solidigm. You can connect with Jeniece on LinkedIn and learn more about Solidigm and their AI efforts on their dedicated AI landing page or watch their Field Day presentations from their appearances at Tech Field Day.

Thank you for listening to Utilizing Tech Season 8: Utilizing AI at the Edge Presented by Solidigm. If you enjoyed this discussion, please subscribe in your favorite podcast application and consider leaving us a rating and a nice review on Apple Podcasts or Spotify. This podcast was brought to you by Solidigm and by Tech Field Day, part of The Futurum Group. For show notes and more episodes, head to our dedicated Utilizing Tech Website or find us on X/Twitter, on Bluesky, and Mastodon at Utilizing Tech.

Sobre os Datacenters de borda (territorializados)

"Dito isso, o Edge continua crescendo em popularidade, especialmente porque as empresas estão migrando cada vez mais do treinamento de IA para a inferência — onde o modelo aplica seu conhecimento aprendido — já que a maior parte desse trabalho pode ocorrer em um ambiente Edge, reduzindo o tempo necessário para enviar dados a um servidor centralizado e receber uma resposta"

datacenterdynamics.com/en/anal

www.datacenterdynamics.comLiquid cooling: The Edge of reasonLiquid cooling has become the great enabler for high-density compute at the Edge

🎧 #InfoQ #podcast: Julia Furst Morgado (Veeam) & Olimpiu Pop dive into #Kubernetes edge resilience in the face of ransomware attacks.

They explore the real challenges – limited resources, network issues, and security threats – and uncover the vital solutions: strong backups, secure write-protected storage, and automated & tested recovery.

🔗 Listen to the full discussion here: bit.ly/3HcIOWs

📄 #transcript included

🚨 NVIDIA launches AI-first desktops — no cloud needed.

💻 DGX Spark: 1 PFLOP, 128GB unified memory
💻 DGX Station: 20 PFLOPS, 784GB unified memory

✅ Native support for PyTorch, Jupyter, Ollama
✅ Same stack as DGX Cloud
✅ Ships with NIM microservices & 800Gb/s networking

Built for local, high-stakes AI: agentic models, sensitive data, and fast iteration.

Is cloud-only AI on its way out?

Video: NVIDIA