io.net Re-poster
The intelligent stack for powering AI workloads | https://t.co/hIYFLxle8l: decentralized GPUs | io.intelligence: inference & agents | https://t.co/EinR91I0wl
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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⤵️
@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?
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 ⤵️
🛠 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:
🔗 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
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. 🧵
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:
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:
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
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 ⤵️
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
✋ 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
You can burn millions of dollars on GPUs on @awscloud
or
use @ionet and save up to 92%, like @BitRobotNetwork did.
or
use @ionet and save up to 92%, like @BitRobotNetwork did.
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
Watch @jack_ionet’s latest interview with @BitcoinMagazine to catch up:
https://www.youtube.com/watch?v=_WJ2rviPV3g
Decentralized compute works.
AI startups & enterprises are turning to this alternative to “Big Cloud”.
But its economics are broken.
That’s why http://io.net is introducing the Incentive Dynamic Engine.
Let’s explore how IDE works ⤵️
https://io.net/blog/incentive-dynamic-engine
AI startups & enterprises are turning to this alternative to “Big Cloud”.
But its economics are broken.
That’s why http://io.net is introducing the Incentive Dynamic Engine.
Let’s explore how IDE works ⤵️
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. ⤵️
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/
@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/
We’re celebrating our journey this year with something special: a campaign on @RallyOnChain.
Rally is a decentralized, AI powered marketing protocol that rewards authentic engagement on X.
To join, we’ve created a waiting list for our community:
👉 https://waitlist.rally.fun/io.net
Rally is a decentralized, AI powered marketing protocol that rewards authentic engagement on X.
To join, we’ve created a waiting list for our community:
👉 https://waitlist.rally.fun/io.net
.@ionet's CMO, @jack_ionet gave an interview to @CoinDesk at @SolanaConf
Watch the full clip ⤵️
Watch the full clip ⤵️
Just published the parallel computing guide you wish existed 3 years ago:
🔀 When to use concurrent vs parallel vs distributed
💸 Real cost math ($38k cluster vs $2,800/mo cloud breakeven)
⚙️ Why 30% CPU usage means you need asyncio, not more cores
Full guide:
🔀 When to use concurrent vs parallel vs distributed
💸 Real cost math ($38k cluster vs $2,800/mo cloud breakeven)
⚙️ Why 30% CPU usage means you need asyncio, not more cores
Full guide:
Day 3 at @SolanaConf
Don’t miss the opportunity to check out The Robot Arena.
Don’t miss the opportunity to check out The Robot Arena.
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