Agreed. Economies of scale are about the only way this makes sense.

I was just working thru the use case for purchasing a 64gb Strix (vs the typical coding I might do using OR or Open Code Go). The ROI is somewhere in the order of 7-10 years for me. So, on a purely dollar cost basis, local inference is $$$. OTOH, from a sovereignty and "own your own code" basis...there's something to be said for it.

Probably I will run a few tests using OR with a few outstanding tickets of mine, to kick the tyres of Qwen3.8-27B. I've tried Qwen3.6-35B and frankly it's...not very good at code gen or patching.

To boot, code gen isn't the only thing I use LLM for, so I suppose it depends on how bloody minded I want to be about future use case (I do actually have one).

Of course they do...but it's not stated in the costs they cutely described as $0.3/1M tokens.

The ones GLM5.3 worked thru ($3.5M capex, based on GPU costs) didn't include ongoing colo costs. So, figure on $3.5K + whatever site rental and electricity cost (I read the article to suggest they were using a colo not on site, but the same idea stands either way: no free lunch just because you have the hardware)

Ah...that's just the one-off costs. Remember...they still have to pay monstrous electric bills. Maybe in the order of $100K or more a month.

No dramas. This is probably my 3rd or 4th Lemmy account in last 2yrs; trying dbzer0.com to see what it's like.

BRB, just getting some scratch lotto tickets.

14.3 kw. That's fucking obscene.

And by all rights, the Fintech datacentre is what...small? medium?

GLM again:

One DGX B200 flat-out: 14.3 kW × 24h = ~343 kWh/day ≈ what a typical UK house uses in a month

Datacentre size: a full rack of AI gear like this is ~50–100kW. Classification-wise:

Your average office server closet: 5–20 kW
Small datacentre: <1 MW
Mid-size / enterprise: 1–10 MW
Hyperscale (AWS/Google/Microsoft): 50–500+ MW per campus

Revolut's 56 GPUs ≈ one dense rack or two — well under 1 MW, so firmly "small," and that's exactly why they colocate/rent space ("a US-based service") rather than owning a facility. Self-hosting the GPUs doesn't mean self-hosting the building. You don't put 100kW of fridges in your London office — you rent rack space in a proper colo where the power and cooling already exist.

Enjoy the lotto. If you win, you can buy an eighth of a DGX.

Fuuuuuuuuuck

In the spirit of things, I asked GLM5.3 what that set up actually looks like. Ouch.

Fetched that page for real. Specs (from gpuworld's DGX B200 datasheet page):

Dimensions: 17.5" W × 87.5" D × 42.9" H (cm: 44.5 × 222.3 × 109.0)
Weight: 275 lb (124.7 kg)
Rack height: 10U equivalent
Power: up to 14.3 kW max per system

In real-world terms:

Height: 10U = 10 rack units = 10 × 1.75" = 17.5" tall — about the height of a bar fridge standing on its side. But that's the chassis; you'll also want ~2U of clearance for airflow/management, so plan for ~1.5U of breathing room above it in a rack.
Depth: 87.5cm = just under a metre — so it'll stick out of a standard 1m-deep server rack unless you've got deep racks (or you let the back panel hang open). Standard 42U racks are typically 1.1–1.2m deep to handle this.
Weight: 275 lb / 125kg. That's a hefty man's weight — two people minimum to lift, ideally four or a rack lift. Standard datacentre floor loading is usually fine at this density but worth checking if you're stacking multiple in a rack.

Rack math for 7 units: 70U of just these systems — so a single 42U rack can't hold them all (you'd need 2 racks), and at ~14kW each you're looking at ~100kW total draw — that's serious power/cooling, way beyond a standard office closet.

Short version: think "fridge-sized box, half a tonne with rails, eats 14kW" — not a pizza box.

Cute that they called it $0.3 / 1 M tokens.

GPU WORLD
US$559,950 per unit: https://gpuworld.ai/gpu/nvidia-blackwell-b-series-gpus

So, IRL...about $3.5 million dollary-doos capex. Given they probably have thousands of engineers on staff, yeah, I can see it being worth it.

Why should I give a flying fuck? I have 3 lenovo tiny boxes, a Rpi4 4gb I got pre 2020, a stack of old laptops and phones, a compute stick and 4 tablets. And if I want to tinker (and I do), ESP32 + CYD is hard to beat.

The Pi 5 does nothing for me that I can't do faster or cheaper (or both) elsewhere. I could literally spend $20 on a WYSE thinclient to get something that's 3-4x the pi while being comparable in power draw.

No...if I want a shiny, I'll get a FPGA or a Commodore 77. If I want to thinker, I'll get ESP32s. And if I want low power always on compute...well, I'm good thanks.

Oui

chop chop

High treason, I'm afraid. You'll swing for that.

I don't understand. So, if VLC was downloaded from Tucows or GitHub...who pays? Surely not VLC, because as I read it, this taxes "producers of digital data" but the measurement mechanism is ISPs counting bytes by sender IP.

So if a French user downloads VLC from Tucows, Sourceforge, or Akamai's CDN, the bytes come from Tucows/Akamai's IP, not VideoLAN's. Under a strict sender-IP reading, Tucows pays, not VideoLAN.

Wat?

If in some crazy world this actually goes ahead as written, one of two things happen

1. Everyone on earth geoblocks French IPs
2. Everyone dumps everything onto mirrors and washes their hands of it.