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GPT‑5.3‑Codex‑Spark

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Re: GPT‑5.3‑Codex‑Spark

#252
post #245

Earlier quoted context omitted.

There have been discussions about this chip here in the past. Maybe not that particular one but previous versions of it. The whole server if I remember correctly eats some 20KWs of power.

20KW? Wow. That's a lot of power. Is that figure per hour?

[deleted]

Re: GPT‑5.3‑Codex‑Spark

#253
post #250

Earlier quoted context omitted.

If you run it for an hour, yes.

I asked because that's the average power consumption of an average household in the US per day. So, if that figure is per hour, that's equivalent to one household worth of power consumption per hour...which is a lot.

Consumption of a house per day is measured in kiloWatt-hours (an amount of power like litres of water), not kiloWatts (a flow of power like 1 litre per second of water).

1 Watt = 1 Joule per second.

Re: GPT‑5.3‑Codex‑Spark

#255

Earlier quoted context omitted.

Nvidia seems cooked. Google is crushing them on inference. By TPUv9, they could be 4x more energy efficient and cheaper overall (even if Nvidia cuts their margins from 75% to 40%). Cerebras will be substantially better for agentic workflows in terms of speed. And if you don't care as much about speed and only cost and energy, Google will still crush Nvidia. And Nvidia won't be cheaper for training new models either.…

> let every part of the market slip away. Which part of the market has slept away, exactly ? Everything you wrote is supposition and extrapolation. Nvidia has a chokehold on the entire market. All other players still exist in the small pockets that Nvidia doesn’t have enough production capacity to serve. And their dev ecosystem is still so far ahead of anyone else. Which providers gets chosen to equip a 100k chips da…

If code is getting cheaper, making cuda alternatives and tooling should not be very far. I can’t see nvidia holding the position for much longer.

Re: GPT‑5.3‑Codex‑Spark

#258
post #250

Earlier quoted context omitted.

If you run it for an hour, yes.

I asked because that's the average power consumption of an average household in the US per day. So, if that figure is per hour, that's equivalent to one household worth of power consumption per hour...which is a lot.

I think you are confusing KW (kilowatt) with KWH (kilowatt hour).

A KW is a unit of power while a KWH is a unit of energy. Power is a measure of energy transferred in an amount of time, which is why you rate an electronic device’s energy usage using power; it consumes energy over time.

In terms of paying for electricity, you care about the total energy consumed, which is why your electric bill is denominated in KWH, which is the amount of energy used if you use one kilowatt of power for one hour.

Re: GPT‑5.3‑Codex‑Spark

#259

Two things to pay attention here. Cerebra’s can only run a small version of GPT5.3, because why else would they run only a smaller model? Also, where is gpt-5.3-codex on azure? Opus 4.6 is available since the launch in both azure and google vertex. Codex is nowhere to be seen.

I mean, is it possible that they could run the full-size model on it, but doing so on the smaller amount of hardware that they have is a worse trade-off for now, and it's better to run more of the smaller model so that it can actually provide capacity to people?

Re: GPT‑5.3‑Codex‑Spark

#260
post #250

Earlier quoted context omitted.

I asked because that's the average power consumption of an average household in the US per day. So, if that figure is per hour, that's equivalent to one household worth of power consumption per hour...which is a lot.

I think you are confusing KW (kilowatt) with KWH (kilowatt hour). A KW is a unit of power while a KWH is a unit of energy. Power is a measure of energy transferred in an amount of time, which is why you rate an electronic device’s energy usage using power; it consumes energy over time. In terms of paying for electricity, you care about the total energy consumed, which is why your electric bill is denominated in KWH,…

You're right, I absolutely was mixing them both. Thanks for clarifying!
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