مجتمع عربي io

$15 billion per year. That's what @AnthropicAI is paying SpaceX for compute. That is enough money to pay for the compute needs of over 25,000 startups. Instead, high infrastructure costs mean that only 5-10% of AI projects will make it past their first year. But it doesn't have to be this way. @ionet makes it possible for projects of all sizes, anywhere in the world, to get immediate access to compute at up to 70% less than hyperscalers. So if your project's budget is less than $15 billion a year, we can help. axios.com/2026/05/20/ant…

It seems like @OpenAI has come out with a new plan to offer guaranteed compute capacity. As long as you are willing to sign a 1-3 year contract. And aren't concerned about pricing. Or to put this another way, if you are a large enterprise with unlimited budgets, you can secure compute that regular developers won't be able to get. The thing is, there is already plenty of compute capacity at affordable prices that doesn't require signing long contracts. So if you don't have enterprise budgets but still want to be sure you can get the compute you need, we're here for you @ionet. cnbc.com/2026/05/19/ope…

Up to 95% of GPUs sit idle. But builders everywhere are stuck on waitlists. @ionet instantly connects you to that idle compute so you can stop waiting and start building. cloud.io.net/cloud/containe…

Most AI teams are overpaying for compute by up to 70%. But they don't realize it. That's what choosing a hyperscaler like AWS actually costs. More overhead, more fees, more complicated contracts, and more waiting. Find out how @ionet can save your team up to 70% in our latest comparison: io.net/blog/io-vs-aws…

It's Monday. You could spend your day planning out your compute needs for the week, provisioning GPUs, and managing your resources. Or, you could take it easy, have a second cup of coffee, and just let your agents do it for themselves. @ionet Agent Cloud allows agents to spin up and down the compute resources they need with full autonomy, and no human involvement - making your Monday, and every other day, better.

Distributed compute puts you in control. You decide when you need more GPUs, which are the right chips to use for each workload, where they should be geographically, and how long you need them for. It lets you make the right choices for your business, instead of someone else's bottom line. It ensures your project stays up and running even when data centers go down. And it keeps you from having to worry about constant price rises and policy changes. That's what @ionet is building. theengineer.co.uk/content/opinio…

This isn't the early days of tech. A single server sitting in your garage isn't going to power scalable AI workloads. If you want to bring your product to market, and build a sustainable business, you need access to affordable, scalable, and flexible GPUs. That's what @ionet is built for. Find out more: cloud.io.net/cloud/containe…

Nvidia is now worth $5.5 trillion. That's more than the value of all of the silver in the world. And more than the GDP of every country besides the US and China. With one company controlling so much of what has become an essential resource, the ability of projects to maintain their independence is a question worth asking. That's why open distributed compute networks like @ionet are so important. No Gatekeeping. No centralized control. Just affordable, transparent, open access for anyone, anywhere. 247wallst.com/investing/2026…

Hyperscalers make you wait for GPUs. Then they charge you a premium for them. If you want to stay competitive in the AI market, neither of these works. @ionet lets you spin up GPU clusters in minutes, not days or months. And it saves you up to 70% vs AWS. Get started in 2 minutes: cloud.io.net/cloud/containe…