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Introducing OptimAI Router 🌐 Open models have never been better. Using them is another story: running one yourself means hardware and upkeep, and renting one means someone else's prices and rules. Meanwhile, millions of capable computers sit idle every night. Router connects those two sides. 🛠 For builders •...

19,258 次观看 • 2 天前 •via X (Twitter)

30 条评论

OptimAI Network 的头像
OptimAI Network2 天前

Why we built Router: open models caught up, demand keeps growing, and the industry turned toward open. Read the full story 👇

haossut 的头像
haossut2 天前

connecting idle compute with open AI models... @OptimaiNetwork is actually solving the real pain points for builders in AI. no crazy rental prices or upkeep fees, just real decentralized infrastructure ready to go. huge update!

Rusl 的头像
Rusl2 天前

Introducing OptimAI Router. One network, two ways in. #OptimAIRouter #AgenticDePIN

Kristin Barry 的头像
Kristin Barry2 天前

Utilizing idle compute for open model inference makes a lot of sense

cinnoyan.sign 🧡🦺🕊️💎 的头像
cinnoyan.sign 🧡🦺🕊️💎2 天前

The router is taking much of my memory, what can Ido?

Weaver Labs 的头像
Weaver Labs2 天前

Like the idea of letting people put idle compute to work on their own terms. The real test will be how reliably that supply can meet demand when developers need it.

BlockClaimed 的头像
BlockClaimed2 天前

Idle GPUs get a night job, open inference finds its marketplace....supply unlocked

Md Abu Taher 的头像
Md Abu Taher2 天前

Good

Fauzi Rahmat 的头像
Fauzi Rahmat2 天前

Harus mencobanya

Ratamahatta 🌶️ 的头像
Ratamahatta 🌶️2 天前

Like the idea of letting people put idle compute to work on their own terms. The real test will be how reliably that supply can meet demand when developers need it.

Supnicrypto 的头像
Supnicrypto2 天前

Millions of computers idle every night. Open models waiting to be used. Router connects both sides. Clean solution

k_isn090 的头像
k_isn0902 天前

Amazing

coin68 的头像
coin682 天前

Tuyệt vời

Happy Thanos 的头像
Happy Thanos2 天前

lfg

ValenHai 的头像
ValenHai2 天前

nice

cm c 的头像
cm c2 天前

good

💝asolaima💢💝 的头像
💝asolaima💢💝2 天前

good

Cryptloker 的头像
Cryptloker2 天前

Very impressive. Team keeps delivering!

Biplob_bd 99 的头像
Biplob_bd 992 天前

Good

Sk Mainul Hassan 🇮🇳 的头像
Sk Mainul Hassan 🇮🇳2 天前

Need Static IP?

Dorikoh 的头像
Dorikoh2 天前

lfg optimAI

Zikra nur π² 的头像
Zikra nur π²2 天前

lfg

DIKETE™_Blocks 的头像
DIKETE™_Blocks2 天前

Looks like the infra is expanding🥇

Dockyy47.Base.eth 的头像
Dockyy47.Base.eth2 天前

Been Running router since day one 😎😎

juii788 的头像
juii7882 天前

nice

Artem base.eth | ETHGas ⛽ 的头像
Artem base.eth | ETHGas ⛽1 天前

gm

Rohman Reallcuy 的头像
Rohman Reallcuy2 天前

Good

alice 的头像
alice1 天前

just setup the router lets see how it performs

mkt36 的头像
mkt361 天前

• One OpenAI-style chat completions API, with streaming • You choose the model, and Router never swaps it

MSModi 的头像
MSModi2 天前

This is a great solution for making open models more accessible. I like that you can set your own prices too.

相关视频

Fusion Models by robinhood:0xa92768863a55d8a0591709f7f5e594a249d36ea3, explained properly. Why a panel beats one model: Ask three models the same hard question and they disagree. The disagreement is the information, where they contradict each other is where one of them is wrong, and a judge can see it. OpenRouter shipped exactly this in June and their panels beat any single frontier model. Credit to them and their $10B sale to stripe. Why the same panel for everyone is the wrong shape: You don't have one best model. You have a best model per job. The one you trust for code is not the one you trust for writing, and neither is the one you'd pick for a five-line reply. A panel chosen per request, identical for every user, can't know that. A panel arranged around you can. The number that matters isn't price: It's cost per answer that works. Model A costs $4 per million tokens and gets your job right one time in four. Model B costs $10 and gets it right three times in four. Per answer you actually keep, A costs $16 and B costs $13. The cheap model was the expensive one. Everyone comparing price lists is measuring the wrong thing. You never rate anything: Stopping an answer halfway is a rating. Regenerating is a rating. Switching model and asking again is the loudest rating there is. Every one of those already writes a row we can learn from. The router learns which models earn your credits, per job, and tries a cheaper one now and then to check. Fusion only when it pays: Cost mode tries the cheap model first and escalates only if a judge says it failed. Performance mode fans out to your panel and merges. Most simple prompts never fuse. That's why it costs less, not more. Put it together and you have a personal model: Not trained. Assembled. Your profile from a two-minute questionnaire and everything you've imported from Claude or ChatGPT. Your memory, shared across every model so switching never starts from zero. Your skills, workflows you build once and run on any model. Your scorecard, which models earn your credits per job. One per person. Nobody else has yours. Every model is someone else's; the arrangement is you, and it leaves with you. People aren't loyal to models. They're loyal to results. A moat can't be a commodity, but it can be our own creation.

askr

13,917 次观看 • 1 个月前