io.net Re-poster

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

You’re an AI startup trying to decide between Cloud or On-Premises GPU.

Here’s the cost and ROI breakdown you need. 🧵

GLM-4.7 built by @Zai_org just dropped on io.intelligence

LiveCodeBench: 84.9%
Claude Sonnet 4.5: 64%

Open source model outscoring Anthropic's flagship on coding benchmarks. The "Preserved Thinking" mechanism actually works for long agentic sessions.

Read more:

.@jack_ionet explains how @ionet is redefining GPU access with a decentralized, demand-driven marketplace in an interview at @SolanaConf.

By leveraging @solana and the Incentive Dynamic Engine (IDE), https://t.co/ZuybGWvRkH is making high-performance compute more affordable, transparent, and sustainable, specially for AI builders.

This is Web3 solving a real problem.

Watch the full interview:

IO Intelligence has just leveled up again.

zai-org/GLM-4.7 is now live.

Features:
•Advanced Agentic Coding & Planning
•Powerful Tool Usage & Web Interaction
•Enhanced Complex Reasoning

Try it now: https://ai.io.net/ai/models

CaaS v2 is live with predefined container recipes, removing the guesswork around which container to run and how to configure it.

If you’re running GPU workloads, it’s worth checking out ⤵️

@ionet 2025 wrapped:

✋ Five case studies with receipts
🤝 21 partnerships
👆 1 tokenomics redesign that reinvents DePIN economics

The teams paying hyperscaler rates didn't make it into this list:

https://io.net/blog/2025-io-net-year-in-review

It’s 2026, and you still don’t know what DePIN is or what @ionet does?
Watch @jack_ionet’s latest interview with @BitcoinMagazine to catch up:
https://www.youtube.com/watch?v=_WJ2rviPV3g

La computación descentralizada funciona.
Las startups de IA & las empresas están recurriendo a esta alternativa a la “Gran Nube”.

Pero su economía está rota.

Por eso http://io.net está introduciendo el Motor Dinámico de Incentivos.

Exploremos cómo funciona el IDE ⤵️
https://io.net/blog/incentive-dynamic-engine

Enterprise AI doesn’t need to come with enterprise infra pricing.

IO Inteligence enables AI startups and established business integrating models into existing workflows to get everything they need without massive upfront costs or complexity. ⤵️

GPU demand is outpacing supply 💹

@Gaurav_ionet shares how decentralized compute could reshape access to AI infrastructure.

➡️https://analyticsindiamag.com/ai-features/from-shortages-to-scale-io-nets-approach-to-rewriting-ai-compute-access/

Estamos celebrando nuestro viaje este año con algo especial: una campaña en @RallyOnChain.

Rally es un protocolo de marketing descentralizado y potenciado por IA que recompensa el compromiso auténtico en X.

Para unirte, hemos creado una lista de espera para nuestra comunidad:
👉 https://waitlist.rally.fun/io.net

Acabamos de publicar la guía de computación paralela que deseabas que existiera hace 3 años:

🔀 Cuándo usar concurrente vs paralelo vs distribuido
💸 Matemáticas del costo real ($38k clúster vs $2,800/mes punto de equilibrio en la nube)
⚙️ Por qué el 30% de uso de CPU significa que necesitas asyncio, no más núcleos

Guía completa: