Jeff Balkanski

31 posts

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Jeff Balkanski

Jeff Balkanski

@balkanski

building supercomputers @fluidstack ex @crusoeai, @harvard cs made in france

Austin, TX Beigetreten Mart 2019
941 Folgt334 Follower
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Jeff Balkanski
Jeff Balkanski@balkanski·
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. Speed and scale are our key differentiators. Join @fluidstack to build civilization-scale infrastructure for AI. Software Engineer: fluidstack.io/jobs/software-… Product Engineer: fluidstack.io/jobs/product-e… Apply now or DM me.
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Mike McDonald
Mike McDonald@asciimike·
Jeff is leading a team building the substrate of AI: ensuring we can design and construct GWs of datacenters in months then deploy and operate millions of accelerators for years. Join Jeff and me @fluidstack and build abundant intelligence!
Jeff Balkanski@balkanski

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. Speed and scale are our key differentiators. Join @fluidstack to build civilization-scale infrastructure for AI. Software Engineer: fluidstack.io/jobs/software-… Product Engineer: fluidstack.io/jobs/product-e… Apply now or DM me.

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Mike McDonald
Mike McDonald@asciimike·
Deeply enjoyed the conversation with @gbrl_dick on @MTSlive yesterday at #DTW2026, covering bottlenecks in the data center buildout, what's new in IT infrastructure, and how @fluidstack is deploying 1GW of capacity this year! Join the team: careers.fluidstack.io/jobs
MTS@MTSlive

We talked to @asciimike, FluidStack's VP of Product, about the future of AI infrastructure. "In order to make this technology successful, we have to not think about the infrastructure. In the same way that I don't think about the assembly code that I write." "Today the bottleneck is power and qualified labor. We're the snake digesting the big egg of a lot of data center builds going on now." "In '28 it may very well go back to being wafers. In '29 it may very well be watts on the grid. We're constantly playing Whac-A-Mole just due to the pace that this industry is going."

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SemiAnalysis
SemiAnalysis@SemiAnalysis_·
296 hackers. 18,432 B200 GPU hours. $180K in compute credits. 60,000mg of caffeine. We kicked off GTC with @fluidstack for From Silicon to Scale — the most full-stack AI hackathon ever built. 48 hours. 1 DGX Spark signed by Jensen. Here's what happened.(1/7)🧵
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Jordan Nanos
Jordan Nanos@JordanNanos·
Looking forward to our GTC Hackathon with Fluidstack! Starting in person at 10AM on Sunday March 15th. We will be giving out grants in the form of tokens or compute access for 48 hours starting on the Friday night. Apply below!
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Jeff Balkanski
Jeff Balkanski@balkanski·
Hosting a hackathon at GTC with @dylan522p and the @SemiAnalysis_ team. Most hackathons start at the API layer — this one starts at the dirt. Land permitting to model inference, the full AI infrastructure stack. Fluidstack is issuing compute grants. Register now: luma.com/SAxFSHack
Dylan Patel@dylan522p

SemiAnalysis x Fluidstack are kicking off GTC with A Full-Stack AI Infra GPU Hackathon Power to Prefill, Dirt to Decode Build with the best, win prizes, and hear @marksaroufim GPU MODE, @cHHillee Thinking Machines, Thomas Raoux OpenAI, @garywu Apply below luma.com/SAxFSHack

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Adam
Adam@HIMRobotics·
@balkanski this is one of the most important companies in inference and @balkanski is N of 1. highly recommend
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Fluidstack
Fluidstack@fluidstack·
Watch our VP of Product @asciimike discuss how we equip the world's top AI labs and startups with highly performant GPU clusters in hours, not months.
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Decart
Decart@DecartAI·
Introducing MirageLSD: The First Live-Stream Diffusion (LSD) AI Model Input any video stream, from a camera or video chat to a computer screen or game, and transform it into any world you desire, in real-time (<40ms latency). Here’s how it works (w/ demo you can use!):
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Cully Cavness
Cully Cavness@Electron_Cowboy·
x.com/i/grok/share/v… - 🤔 hope to add @CrusoeAI to this search result soon - video shows how our team and partners are building the future of AI infrastructure in warp speed. Very impressed by @grok 3 Deep Research - appears to be a big step up in capability.
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