io.net Re-poster

Always good to start the week with some exciting news 🚀.

The https://t.co/0gr8SMQJ47 team have just integrated IO Intelligence as a model provider of choice.

Builders on https://t.co/0gr8SMQJ47 can now easily route to https://t.co/ZuybGWvjv9 Intelligence via standard /chat/completions, and access leading models like DeepSeek, Mistral, Llama, GLM & more.

It's fast. It's cost-efficient. It's production-ready. And it's powered by https://t.co/ZuybGWvjv9.

Check out the GitHub repo to find out more:

Always good to start the week with some exciting news 🚀.

The https://t.co/0gr8SMQJ47 team have just integrated IO Intelligence as a model provider of choice.

Builders on https://t.co/JUEdqK9lHN can now easily route to https://t.co/ZuybGWvjv9 Intelligence via standard /chat/completions, and access leading models like DeepSeek, Mistral, Llama, GLM & more.

It's fast. It's cost-efficient. It's production-ready. And it's powered by https://t.co/ZuybGWvjv9.

Check out the GitHub repo to find out more:

Always good to start the week with some exciting news 🚀.

The https://t.co/0gr8SMQJ47 team have just integrated IO Intelligence as a model provider of choice.

Builders on https://t.co/JUEdqK9lHN can now easily route to https://t.co/ZuybGWvjv9 Intelligence via standard /chat/completions, and access leading models like DeepSeek, Mistral, Llama, GLM & more.

It's fast. It's cost-efficient. It's production-ready. And it's powered by https://t.co/ZuybGWvjv9.

Check out the GitHub repo to find out more:

Access to GPUs is key to succeeding in AI.

Great ideas matter. Talented teams matter. Perfect product-market fit matters.

But without accessible and affordable GPUs, even the most amazing projects can't succeed.

Most data centers aren't ready for the exponential increase in demand. And the ones that are charge prices most people can't afford.

That's why we're here: to increase access and affordability so everyone has a fair chance to bring innovative ideas to market.

Access to GPUs is key to succeeding in AI.

Great ideas matter. Talented teams matter. Perfect product-market fit matters.

But without accessible and affordable GPUs, even the most amazing projects can't succeed.

Most data centers aren't ready for the exponential increase in demand. And the ones that are charge prices most people can't afford.

That's why we're here: to increase access and affordability so everyone has a fair chance to bring innovative ideas to market.

Find out more at https://t.co/ZuybGWvjv9

DePIN compute isn’t just a narrative. It’s a reality.

In 2025, DePIN crossed $40B in market cap. In 2026, more companies of all sizes will be deploying.

This isn't speculation, it's happening.

When big AI rivals come together to create an accelerator, it should probably raise a few eyebrows.

Getting a startup off the ground is one thing. Ensuring they have a path to long-term success is another.

With AI startups spending up to 60% of their budgets on infrastructure, building with Big Tech comes at unseen and unpredictable costs.

Our goal is to make infrastructure affordable and accessible for the long term. That can be the difference between getting started and getting an innovative product to market.

Find out more at https://t.co/ZuybGWvjv9

When big AI rivals come together to create an accelerator, it should probably raise a few eyebrows.

Getting a startup off the ground is one thing. Ensuring they have a path to long-term success is another.

With AI startups spending up to 60% of their budgets on infrastructure, building with Big Tech comes at unseen and unpredictable costs.

Our goal is to make infrastructure affordable and accessible for the long term. That can be the difference between getting started and getting an innovative product to market.

When Big Cloud prioritizes margins over user growth, DePIN’s benefits will be undeniable.

AWS’s 15% price increase suggests this is already happening.

That’s why we built a way to access GPU clusters around the world that works better, scales faster, & costs less.

AWS recently raised their prices... again.

These costs keep devs and startups from having a fair chance to succeed.

And we're not okay with that.

That's why while these “hyperscalers” are busy hiking prices, we’re busy opening doors for founders and builders. 🚪✨

AI builders currently have very few options for GPU compute, and they’re all Big Cloud providers.

And if you want to avoid the costs of buying GPUs for your model, what do you do?

The answer is DePIN.

Always-on AI agents don’t run on waitlists.
They run on scalable GPU infrastructure.

Here’s why it matters 👇
https://startupnews.fyi/2026/02/04/always-on-ai-agents-gpu-infrastructure/

Up to 60% of an AI startup's budget goes to infrastructure costs.

Not engineering. Not product development. Not sales or marketing. Infrastructure.

But there's another way.

Decentralized compute can cut costs by 70%. That can be the difference between bringing a killer product to market and turning off the lights.

Up to 60% of an AI startup's budget goes to infrastructure costs.

Not engineering. Not product development. Not sales or marketing. Infrastructure.

But there's another way.

Decentralized compute can cut costs by 70%. That can be the difference between bringing a killer product to market and turning off the lights.

Utility.

It's that simple. That's what's driving real growth in DePIN.

That's why we rebuilt our tokenomics model to be demand driven and utility focused.

If you haven't read the litepaper, now's your chance. If you haven't shared your thoughts, we want to hear from you. The community feedback period ends Feb 27.

AI’s hidden cost isn’t models, it’s compute.

@Gaurav_ionet breaks down why fintechs underestimate how quickly centralized cloud economics erode AI ROI, and why success with users doesn’t always translate to success on the balance sheet.

Read the full article⤵️

If you’re building an AI model, you probably need a quick cheat sheet with some GPU performance numbers for top GPUs.

We’ve got you covered...

What will you build using IO Cloud?

18 new AI agents just dropped on IO Intelligence

🛠 Dev tools (GitHub, Jira, Linear, ClickUp)
🌐 Research (Web, YouTube, News)
📊 Finance (Crypto and Stocks)
🧠 Language (Summarize, Translate, Moderate, Classify)
💬 Comms (Slack)

One Platform. Open Source. Affordable Compute.

Explore ⤵️

There actually is a chasm of difference between renting random GPUs and running an actual cluster:

🔗 Unified memory access across nodes
⚡ Low-latency interconnects (not public internet)
🎯 Orchestration that doesn't bottleneck at coordination

You're NOT training models faster because you have more GPUs. You're training faster because the GPUs can actually talk to each other without waiting.

Check out our complete breakdown of GPU clusters for beginners:

GPU data centers cost $200K+/month just to cool and use 15-30 MW of power. Big Tech marks this up 10x and calls it "enterprise pricing."

Decentralized compute cuts costs 90% by removing the middleman.

Full deep dive: https://io.net/blog/gpu-data-centers