Karanbir Singh 🐧
4.8K posts
Karanbir Singh 🐧
@KaranOrg
RedHat; Reliability & Scale Engineering; {manage, automate, secure} everything. ( ex-CentOS project lead )
London & Cambridge, UK Bergabung Kasım 2008
99 Mengikuti15K Pengikut
Karanbir Singh 🐧 me-retweet
Launch your private #AI code assistant today. The new AI quickstart, powered by @RedHat_AI's MaaS and NVIDIA Nemotron models, gives you governed, cost-controlled AI. Learn how: red.ht/4uwrQ9r #NVIDIAGTC
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Karanbir Singh 🐧 me-retweet
📢 Applications for Google Summer of Code (GSoC) are open now through March 31, 2026. Spend 12+ weeks coding with experienced mentors and earn a stipend.
Read more at goo.gle/gsoc-2026-appl…
#GSoC #OpenSource #GoogleSummerofCode #StudentPrograms
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Handy list of peering exchanges around pulse.internetsociety.org/en/ixp-tracker… ( you can select the country and get local details as well )
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London internet exchange flow traffic graphs portal.linx.net/services/lans-…
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I don't think you needed to look above the rack, what's going on inside the rack isn't all that great either.
RossRadio@cqcqcqdx
Contractors have taken down the roof above a cabinet, showing the gore installed by the previous IT team...
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What's the worst that could happen ? Go on, unleash the AI on all your remote machines, in real time!
( For when used responsibly, this is quite cool tbh )
Anthony Morris ツ@amorriscode
SSH support is now available for Claude Code on desktop Connect to your remote machines and let Claude cook, TMUX optional.
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@FFmpeg Other than $$ and Development Time, is there any other meaningful contribution you would find useful?
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Everyone with the DGX Spark ( or any of the GB10 machines ) may want to look at this..
Red Hat AI@RedHat_AI
Red Hat AI just released NVFP4-quantized models from 8B to 400B+ parameters, built with LLM Compressor and ready for vLLM deployment. Explore the collection: 👉 huggingface.co/collections/Re… Check out the 🧵 for details on accuracy recovery and more!
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Karanbir Singh 🐧 me-retweet
vLLM got a major upgrade!
Originally built for autoregressive text-based LLM serving, vLLM-Omni now lets you serve text, image, video, and audio models - all from a single framework.
You can also serve diffusion models for fast parallel generation.
100% open-source.
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I know this is meant to be a bit of a retro throwback. But I know my people using trolleys in the Data Centre still ticking the box, TFT screens and maybe no VCR but trolley KVM carts are a daily thing.
World of Engineering@engineers_feed
Name something you remember watching on this:
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Spare a thought for all the Linux 2.6.x out there ( yes, there is a lot of it )
@mikko@mikko
@isurusam YES.
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Karanbir Singh 🐧 me-retweet
The CIA just stopped publishing their World Factbook and took every page, including the archived copies of previous versions!
This sucks. It was public domain, so I recovered the 2020 edition (the last one published as a zip file) and shared it to GitHub simonwillison.net/2026/Feb/5/the…
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@FFmpeg @jungpionier_ Not only are they available, but they're fast... 5GHz, 32-core/256-thread ... Onboard accelerators ... True SMP scalability ...
It's a real shame SPARC got put out to pasture. The M8 chip was a beast and only now is the x86 space catching up.
(M8 launched in 2017.)
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This would be a great machine to revive FFmpeg's Solaris CI
Adam Rossi@rossiadam
In 2004 the Sun Fire E25k was the apex predator of computing. This was the largest single-image Unix machine that money could buy ($2M fully loaded). This bad boy had: • 36 UltraSPARC IV processors (72 cores) • 576 GB RAM • 18 fully hot swappable CPU/memory boards • gigabit ethernet and fibre channel HBAs • Redundant power supplies, cooling zones, draw 15kW of power I deployed software to these things. Uptime was measured in years. This was THE ONE. Man I miss Sun.
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