Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

GPT‑5.3‑Codex‑Spark

openai.com

Post reply on HN
Print view View original

211–220 of 415 posts

Re: GPT‑5.3‑Codex‑Spark

#211

Post by boredatoms »

latchkey wrote: post #84
pjs_ wrote: post #66

Continue to believe that Cerebras is one of the most underrated companies of our time. It's a dinner-plate sized chip. It actually works. It's actually much faster than anything else for real workloads. Amazing

Not for what they are using it for. It is $1m+/chip and they can fit 1 of them in a rack. Rack space in DC's is a premium asset. The density isn't there. AI models need tons of memory (this product annoucement is case in point) and they don't have it, nor do they have a way to get it since they are last in line at the fabs. Their only chance is an aquihire, but nvidia just spent $20b on groq instead. Dead man walking…

Power/cooling is the premium.

Can always build a bigger hall

Re: GPT‑5.3‑Codex‑Spark

#212

Post by kreelman »

ElijahLynn wrote: post #210

Wow, I wish we could post pictures to HN. That chip is HUGE!!!! The WSE-3 is the largest AI chip ever built, measuring 46,255 mm² and containing 4 trillion transistors. It delivers 125 petaflops of AI compute through 900,000 AI-optimized cores — 19× more transistors and 28× more compute than the NVIDIA B200. From https://www.cerebras.ai/chip : https://cdn.sanity.io/images/e4qjo92p/production/78c94c67be9... https://cd…

Wooshka.

I hope they've got good heat sinks... and I hope they've plugged into renewable energy feeds...

Re: GPT‑5.3‑Codex‑Spark

#213

Post by icelancer »

onlyrealcuzzo wrote: post #109
pjs_ wrote: post #66

Continue to believe that Cerebras is one of the most underrated companies of our time. It's a dinner-plate sized chip. It actually works. It's actually much faster than anything else for real workloads. Amazing

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.…

> What am I missing?

VRAM capacity given the Cerebras/Groq architecture compared to Nvidia.

In parallel, RAM contracts that Nvidia has negotiated well into the future that other manufacturers have been unable to secure.

Re: GPT‑5.3‑Codex‑Spark

#214

Post by kristianp »

sauwan wrote: post #80
OsrsNeedsf2P wrote: post #3

No hint on pricing. I'm curious if faster is more expensive, given a slight trade-off in accuracy

It's either more expensive or dumber.

It will be more expensive because it's running on more expensive hardware, Cerebras. Does it also need to be smaller to fit on a single Cerebras node?

Re: GPT‑5.3‑Codex‑Spark

#215

Post by Havoc »

mynti wrote: post #100

With the rough numbers from the blog post at ~1k tokens a second in Cerebras it should put it right at the same size as GLM 4.7, which also is available at 1k tokens a second. And they say that it is a smaller model than the normal Codex model

You can’t extrapolate size of model from speed that way. Architecture difference, load etc will screw up the approximation

Re: GPT‑5.3‑Codex‑Spark

#216

Post by latchkey »

boredatoms wrote: post #211
latchkey wrote: post #84

Earlier quoted context omitted.

Not for what they are using it for. It is $1m+/chip and they can fit 1 of them in a rack. Rack space in DC's is a premium asset. The density isn't there. AI models need tons of memory (this product annoucement is case in point) and they don't have it, nor do they have a way to get it since they are last in line at the fabs. Their only chance is an aquihire, but nvidia just spent $20b on groq instead. Dead man walking…

Power/cooling is the premium. Can always build a bigger hall

Exactly my point. Their architecture requires someone to invest the capex / opex to also build another hall.

Re: GPT‑5.3‑Codex‑Spark

#217

Post by Havoc »

tsss wrote: post #59

Does anyone want this? Speed has never been the problem for me, in fact, higher latency means less work for me as a replaceable corporate employee. What I need is the most intelligence possible; I don't care if I have to wait a day for an answer if the answer is perfect. Small code edits, like they are presented as the use case here, I can do much better myself than trying to explain to some AI what exactly I want do…

Speed is absolutely nice though not sure I need 1k tps

Re: GPT‑5.3‑Codex‑Spark

#218

Post by kristianp »

I think there's a chance openAI is also testing this on Openrouter as the stealth Aurora Alpha, responses are extremely fast. I tried it with aider and a small project, and about 10k input tokens and 1k response tokens was processed at around 500tps.

Re: GPT‑5.3‑Codex‑Spark

#220

Post by King-Aaron »

kreelman wrote: post #212
ElijahLynn wrote: post #210

Wow, I wish we could post pictures to HN. That chip is HUGE!!!! The WSE-3 is the largest AI chip ever built, measuring 46,255 mm² and containing 4 trillion transistors. It delivers 125 petaflops of AI compute through 900,000 AI-optimized cores — 19× more transistors and 28× more compute than the NVIDIA B200. From https://www.cerebras.ai/chip : https://cdn.sanity.io/images/e4qjo92p/production/78c94c67be9... https://cd…

Wooshka. I hope they've got good heat sinks... and I hope they've plugged into renewable energy feeds...

Nope! It's gas turbines
Post reply on HN