Pareton

Faster. Cheaper. Verified on your inference workload.

Optimize your inference on Bittensor Subnet 10.

[Pareton @Pareton_ai]

@XavierLyu 🎫 Request ID: CU2608260027
🎫 Request ID: CU2608260028

[Pareton @Pareton_ai]

🚀 Preparing to submit our request to CoinGecko for Pareton!

🔗 GeckoTerminal URL: https://t.co/sMLgoEwjQp

Telegram contact: @xavierlyu

[Pareton @Pareton_ai]

The stage is almost set.

[Vito Corleone τ @Consigliere_Cor]

Two of the most anticipated subnets on Bittensor just dropped updates in Discord, both confirmed by the owners themselves, minutes ago:

* SN10 @Pareton_ai — @xavi3rlu : ~80% done, what's left is GPU time for testing.
* SN37 @AureliusAligned — @Austin_Aligned : their new incentive mechanism goes live next week.

Two of the strongest builder teams and future heavyweights in the ecosystem hitting that point in the same week is not nothing.
The next few weeks are going to be fun.

[Xavier @xavi3rlu]

I have a dream.

That one day, @Pareton_ai Subnet 10 will be recognized as an ESG investment and finally make its way into ESG index funds.

— Martin Luther King Jr. (probably)

[Aphτ 🌊α @tao_Alph]

@Pareton_ai SN10 brand new website and details

Inference optimization!!

What if Pareton optimize @engyai inference further !!

[Punisher ττ @CryptoZPunisher]

Bittensor >> Subnet 10 Pareton

I’m really glad to see @xavi3rlu bouncing back after his unfortunate experience with Latent.
From here, things can only move forward.

And I have to say, one idea already has me intrigued: a potential synergy between SN10 Pareton and SN53 Engy.

@Pareton_ai
@engyai

Pareton working to optimize inference efficiency, while Engy aims to deliver inference at scale…

SN10 → optimization
SN53 → execution

If these two worlds ever come together, it could be something truly huge.

https://t.co/GuBr9eCuIB
https://t.co/nBudTUih8o

[一只羊 ττ @Yizhiyangfund]

子网真正缺乏一些具备建设性的Owner

而不是那些所谓提前给预期带来短暂炒作

……

[一只羊 ττ @Yizhiyangfund]

罗马不是一天建成…每个伟大项目的背后都需要经历一段漫长且艰辛的旅程。

Engy亦是如此 Pareton也是同样
过程永远都是不够快
最终都是让人满意的

[Vito Corleone τ @Consigliere_Cor]

1/
everyone's hunting the next big model subnet. meanwhile the least glamorous problem in the entire stack is that inference is expensive and most of it runs unoptimized.
SN10 @Pareton_ai is quietly building the layer that fixes that

[Xavier @xavi3rlu]

Ops before features.

@Pareton_ai