Ninja
@TheIronCoder
The Iron Coder | Web3 & AI Ninja. Astronaut @ionet Scaling decentralized AI/GPU ecosystems. Building muscle, crafting code, and gaming by night
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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…
DePIN compute is no longer a narrative it’s production ready With 99.9% uptime global GPU access, and up to 90% lower costs, io.net is powering the shift away from Big Cloud bottlenecks Build on
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,…
Big Cloud raising prices, DePIN lowering barriers With io.net, access global GPU clusters that scale faster and cost less. No lock-in, no waitlists. Build smarter: io.net/cloud
Up to 90% cheaper H100/H200s, no waitlists, no lock-in, no hidden fees. This is how AI builders should scale.
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 👇 startupnews.fyi/2026/02/04/alw…
Most AI teams don’t struggle with models. They struggle with GPU costs once they try to scale. This is exactly why we built this guide at @ionet It breaks down what actually matters in GPU clusters: which GPUs to use, how networking affects performance, and how total cost…
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…
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…
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…
Forget “cloud first”. It's now the DePIN-first era. @blockchainrptr recognized @ionet as one of 6 projects transforming physical infrastructure in 2026 by helping to make GPUs more affordable and accessible for devs worldwide.
Explore six DePIN projects shaping physical infrastructure in 2026, from AI compute and storage to energy grids, connectivity, and real-world revenue. blockchainreporter.net/top-6-depin-pr…
Kimi-K2-Thinking and Kimi-K2-Instruct-0905 models are available on IO Intelligence. Access them via UI Chat or API ⤵️ ai.io.net/ai/models
Here's a short video from our founder, Zhilin Yang. (It's his first time speaking on camera like this, and he really wanted to share Kimi K2.5 with you!)
Every generation rebuilds infrastructure on new primitives. Railroads. Telecom. Internet. DePIN carries that torch forward, and unlike anything else in crypto, it doesn't need a bull market to win. It just needs the world to keep building. And the world never stops building.
$RENDER vs $io net isn’t just token charts, it’s hardware. $Render is the OG network with 5,600 node operators and 2M+ OctaneBench of compute tuned for high-end 3D/VFX. $io net has gone full blitz mode: 100k+ workers, 139,000 GPUs across 130+ countries, paying out 101k workers…
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⤵️…
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