Kingeni @Kingeni_Mod

Social Media Manager || Community Manager || Founder: @Albertopips || AMB: @ionet || Ex-SMM: @SharkrollCasino linktr.ee/kingenimedia WEB 3 Joined October 2024

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Kingeni @Kingeni_Mod

4 hours ago

C’est un angle intéressant. On parle beaucoup du coût du compute et de la demande, mais les conditions de paiement comptent tout autant. Obtenir les GPU, c’est une chose. Réussir à rentabiliser tout ça, c’en est une autre.

Raj K. @Raj_TheBUIDLer

8 hours ago

I have had a front row seat to this market at @ionet since 2024. One thing a GPU price index cannot tell you is whether a funded startup, cash in hand, will get told no. Or asked for 30-40% upfront and a guarantor (preferably the lead VC or top client). Compute increasingly

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Kingeni @Kingeni_Mod

2 days ago

Un GPU qui tourne à vide, c’est du potentiel perdu. Une startup bloquée sur une liste d’attente, c’est du temps perdu. On n’a pas seulement besoin de plus de compute, mais d’un meilleur accès à celui qui existe déjà. C’est là qu’intervient @ionet.

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Kingeni @Kingeni_Mod

2 days ago

GM Traders!

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Kingeni @Kingeni_Mod

3 days ago

Plus de 20B de tokens traités sur OpenRouter en une seule journée. En juillet : ~3B/jour. Les mêmes machines. Beaucoup plus de rendement. C’est ça, l’optimisation. Une meilleure stack. Plus d’efficacité. Built on io.net.

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Akshay @iiam_Akshay

5 days ago

$IO IS BUILDING A DECENTRALIZED COMPUTE NETWORK. AI models need GPUs. Gaming needs GPUs. Rendering needs GPUs. The demand for compute is exploding, and decentralized networks are trying to turn unused hardware into an economic resource. #IO #AI #DePIN #Crypto

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Kingeni @Kingeni_Mod

4 days ago

Tu peux avoir le budget pour le compute et quand même passer après les autres pour les GPU. Les gros contrats sont prioritaires. Les startups attendent. Avec io.net, plus besoin de contrats à plusieurs milliards pour accéder au compute.

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Kingeni @Kingeni_Mod

6 days ago

@Divinecodes11 Tapped in 🔥🔥🔥

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Kingeni @Kingeni_Mod

a week ago

Open weights ≠ open infrastructure. Run open models on hyperscaler GPUs and you’re still locked into their pricing, capacity and exit costs. Same 70B workload. 4 GPUs. 20h/day. AWS: ~$9.6K/mo io.net: $3,576/mo. Open models need open compute.

io.net @ionet

a week ago

Open weights don't mean open infrastructure. Run open models on hyperscaler GPUs and you're just swapping one lock-in for another. It's the same vendor pricing, availability limits, and cost to leave. The same 70B workload. Four GPUs. Twenty hours a day: AWS on-demand: around

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Kingeni @Kingeni_Mod

a week ago

@bagnq GM Bag

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Kingeni @Kingeni_Mod

2 weeks ago

If you're a mod, community manager or chat engender I have something cooking up for you

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Kingeni @Kingeni_Mod

2 weeks ago

31,6T$ pourraient être investis dans l’infrastructure IA d’ici 2050. Pourtant, les GPU restent difficiles à obtenir. Le problème n’est pas seulement l’offre. C’est la coordination. @ionet transforme la puissance inutilisée en capacité accessible.

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Raj K. @Raj_TheBUIDLer

2 weeks ago

500M tokens a day in March 2026. 15B tokens a day yesterday. That is daily volume across @ionet hosted models on @OpenRouter, served on an almost same mix of H100, H200 and B300 GPUs since Day 1. Along the way, we became day zero launch partners for open source reasoning models including @Zai_org, @Kimi_Moonshot, @Alibaba_Qwen , Nemotron, @MiniMax_AI and GPT OSS. Nvidia has built something useful with the recent Nemotron 3.5 Lightning. A fast, capable and efficient open model, with weights, datasets and recipes that give teams like ours room to optimise. Yesterday, the OpenRouter provider token share showed @ionet at 64% token share for Nemotron 3.5 Lightning, the largest provider share. Effective prices per million tokens: Input: $0.0335 Output: $0.179 Our volumes and price reflect both usage and affordability. We are serving this workload profitably on an inference stack built and operated end to end in house. Our small team still runs two to three experiments every week. We track tool calling changes, frontier lab updates and what communities on vLLM and Sglang are discussing, then test what matters on our own workloads. Demand changes with time zones and days of the week. Launch excitement fades. New providers arrive and price wars start. You get used to revisiting your assumptions. With GPU rental costs rising, compute efficiency and reliable tool calling matter more. A low token price only helps if the task gets done correctly. Open models are becoming capable enough to build around and economical enough to serve at scale. There is a lot of engineering behind making both true at once. Thank you @NVIDIA and the Nemotron team, @OpenRouter and @alexatallah for allowing providers like ourselves to work seamlessly, and our engineers, who know how much work sits behind a neat row in a pricing table.

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Kingeni @Kingeni_Mod

2 weeks ago

@Raj_TheBUIDLer @ionet @OpenRouter This is astonishing!

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Kingeni @Kingeni_Mod

2 weeks ago

@D3nny_crypto You too stop buying rugs

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Kingeni @Kingeni_Mod

2 weeks ago

11 Md de tokens traités en une seule journée sur OpenRouter. Ce n’est pas qu’un chiffre. C’est un signal clair : l’usage de l’IA continue d’exploser. Plus de modèles. Plus d’utilisateurs. Plus de calcul. @ionet construit l’infrastructure pour suivre cette demande.

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Kingeni @Kingeni_Mod

2 weeks ago

2 500 $ → 1 000 $ par client. @kayos_ai a réduit ses coûts de calcul de 60 % en passant sa stack d’agents sur io.intelligence de @ionet. Une API. Zéro limite de débit. Le compute ne devrait plus être le frein.