Byonggon Chun

TPU 💊 @ Fluidstack, ex-FuriosaAI and Samsung Research

[Byonggon Chun @_bg_chun]

@rwang07 afaik their collaboration started when samsung' hbm quality didnt meet the Nvidia's bar

[Byonggon Chun @_bg_chun]

"is this real?" that is what I thought when I found this photo. @fluidstack is still keep growing aggressively. Join us before toooo late
https://t.co/ys8bYy4GXe and feel free to DM me for referral.

[Fluidstack @fluidstack]

Another one this week: NYSE celebrated Fluidstack's $830M Series A confirmation with a Trading Floor Takeover. Thank you @NYSE.

We're hiring across all departments: https://t.co/gW777NE8ka

[Byonggon Chun @_bg_chun]

Nowdays we talks about GB and VR. Likely 10 years go there was IBM AC922 which has direct NVLINK interface to NV GPU(Volta? Pascal? I don't remember).

[Byonggon Chun @_bg_chun]

@techwithhannahm Let's Fucking GOOOOOOOOOOOO

[Byonggon Chun @_bg_chun]

@MxMnr eh not yet.

[Byonggon Chun @_bg_chun]

this might be interesting product in the perspective of Human Computer Interface.

[Augmental @augmentaltech]

MouthPad is a touchpad you drive with your tongue.

Now available across the US.

[Byonggon Chun @_bg_chun]

@matthewjgunton I'm really curious how nvidia would scale scale up fabrics as big as scale out fabrics just like TPUs.

[Fluidstack @fluidstack]

A nice moment for the team this week: @nasdaq featured Fluidstack’s $830M Series A on their Times Square tower.

We’re hiring across all departments: https://t.co/gW777NE8ka

[Byonggon Chun @_bg_chun]

@namjanice78 @ArjChi @fluidstack @leopoldasch And I'm generating tech debt

[Erika Lee @erikalee]

The @fluidstack team knows how to throw a beautiful event.

Congrats on the Series A!!

[Byonggon Chun @_bg_chun]

@namjanice78 @techwithhannahm HBM or roasting coffee beans? or both haha

[Byonggon Chun @_bg_chun]

here is your virtual korean HBM factory tour.
Of course this is joke it is how korean roast coffeez

[Byonggon Chun @_bg_chun]

I doubted my eyes when I read HBM4 8ii over 12Hi.
Maybe that particular team thought "we don't need that much HBM for our recommendation model".

[Dylan Patel @dylan522p]

This is a public cry to not waste the silicon and have better AI infra
Rivos, DSF, Grand Teton, Ariel and the cut-down MI450X were defensible on some narrow metric that a group inside Meta Infrastructure was optimizing for, but each was a poor decision for the company as a whole.

[Jai Gulati @jaigulati_]

.@fluidstack event ready!! see everyone there :))

[arjun @ArjChi]

In about 40 min, we will be bringing back taste to San Francisco. Last chance to sign up!

https://t.co/0fhLMjI7y0

[Janice @namjanice78]

My company (@fluidstack) raised $830M in our Series A last December. It was led by @leopoldasch 's fund (he is a very smart and cool guy).

We're announcing this now because we were too busy #grinding and having #fun

If you're interested in joining while it's still *early*, DM me! We can be friends and get matcha tea

[Byonggon Chun @_bg_chun]

@techwithhannahm add "KEEP UNEMPLOYMENT STATE" hahaha

[Jai Gulati @jaigulati_]

SAN FRANCISCOOOOO

come have a good time :))
https://t.co/pnm5Jpjk9o

[Zongheng Yang @zongheng_yang]

Today, SkyPilot is out of stealth.

Building custom intelligence is now existential. We help frontier AI teams build intelligence faster by removing their biggest bottleneck: AI compute fragmentation.

Frontier teams like @appliedcompute, @AbridgeHQ, @hippocraticai, @hcompany_ai, and @nubank already run on SkyPilot, with 10x faster time-to-intelligence and double-digit increase in GPU utilization.

AI teams today get compute anywhere they can. They then firefight compute fragmentation across providers. Researchers burn time on workload setup. Infra gets paged when GPUs go down. Frontier teams build slowly even on the fastest compute.

@skypilot_org turns your fragmented compute into one AI supercomputer, so you run frontier workloads faster. Many users manage 10,000+ GPUs across providers with SkyPilot. GPU hours consumption has grown 6x in the last 6 months.

1/ We're launching SkyPilot Platform — the AI compute platform for frontier AI teams to manage large GPU fleets and accelerate building custom intelligence.

Optimized for fleet management, team governance, and frontier workloads — pretraining, post-training, multi-cluster serving, and sandboxes. SkyPilot open source users can switch to the platform with a server URL change.

2/ We've raised over $20M led by @Lux_Capital (@breeves08), with participation from @AmplifyPartners (@dauber, @lennypruss), @coatuemgmt, @FoundationCap (@ashugarg , @JayaGup10), @RaceCapital, @thehousefund, and top operators like @alighodsi (CEO, Databricks), @JeffDean (Chief Scientist, Google), @rauchg (CEO, Vercel), @amasad (CEO, Replit), @ClemDelangue (CEO, @huggingface) and more.

We're hiring across Engineering and GTM to deliver the platform for the next decade of AI.

Above all, I'm excited to be building with the incredible team we've assembled, along with my cofounders Zhanghao @Michaelvll1, Romil @bromil101, Scott, and Ion @istoica05.

If you firefight AI compute, let's build.