The future of medicine is here, but there's a hidden bottleneck slowing life-saving breakthroughs. AI can now decode genomes in hours, predict protein structures, and accelerate drug discovery, but researchers are being held back by one critical constraint: access to compute.

What can you do with it?. 🔹 Hotfix & debug in real time.🔹 Tail logs & monitor live.🔹 Download models (Ollama, etc.).🔹 Run one-off setup scripts.🔹 Interactively explore paths, files, and more. 💡It’s the terminal you know. Simple. And it just works.

📢 Just dropped: Live Terminal Access on @Kinesis_Network. Dev-grade shell access to every container in your dashboard — full TTY, autocomplete, syntax highlighting, user controls, and more. Feels like localhost. With cloud-scale superpowers. 🖥️⚡

We’re proud to share our story in @FierceNetwork_. If you care about fixing broken infrastructure, reducing waste, and accelerating real-world innovation, check this out:.🔗 Huge thanks to @DiaMariesbeat for the thoughtful piece. 🙏. 6/6.

Why now? Because AI changed the game. Every industry is racing to train, fine-tune, and deploy models. But the cost and complexity of compute infrastructure is slowing them down. That’s unacceptable. 5/6.

Kinesis provides a global orchestration layer that turns underutilized compute into high-performance, AI-ready infrastructure. Cloud, edge, on-prem, GPUs, CPUs—we aggregate it all, route workloads in real time, and make it all turnkey for enterprises and researchers. 4/6.

This isn’t just wasteful. It’s backward. We’re rationing compute like it’s scarce—when it’s everywhere. The problem isn’t supply. It’s access. And that’s what Kinesis Network is built to solve. 3/6.

Most data center servers are 75–85% idle. Still powered on. Still consuming electricity. But not doing any useful work. And that’s just the supply side. The demand side?.Researchers, AI teams, and startups are scrambling for compute they can’t afford or find. 2/6.

There’s no global compute shortage. There’s a coordination failure. We’re building the critical digital infrastructure to fix it—and @DiaMariesbeat captured our story in @FierceNetwork_ 📢. Here’s what’s broken, and how we’re solving it:.🔗 🧵1/6.

📢 We’re excited to be featured in @FierceNetwork_!. In this piece, @DiaMariesbeat explores how Kinesis Network is unlocking the world’s idle compute—turning underutilized servers into scalable, AI-ready infrastructure. 🔗 Thank you, Diane, for the.

📢 It’s here: the Kinesis Protocol testnet is now live. We’re building the decentralized compute grid of the future—where anyone can supply, anyone can consume, and compute just flows. 🔗

@AiInsiderCo Full article: 🔗

@AiInsiderCo Want to help? Here's how:. Have an unused machine? 🖥️ Plug it into @Kinesis_Network and put it to work. Need compute? ⚡ Run your AI workloads on Kinesis. Know a researcher or builder? 🧬 Send them our way. Or simply like, follow, and help spread the word. 🚀. Every action.

@AiInsiderCo The genomics revolution is real. But to realize its full potential, we must first fix the infrastructure bottleneck. That's why we built Kinesis:.Because faster compute doesn’t just accelerate research—it changes lives. 🧬.

@AiInsiderCo At @Kinesis_Network, we’re solving this problem differently. We unify idle and underutilized compute resources from around the world—turning them into a high-performance, on-demand compute network built for AI. ⚡⚙ . Effortless to use. Scalable. Cost-effective.

@AiInsiderCo Legacy cloud can’t keep up. Supercomputers are overbooked. Costs are spiraling out of reach. Meanwhile, life-saving research waits in line for access to compute. A hidden crisis holding back an entire industry.

A new piece from @AiInsiderCo highlights this issue:. The genomics revolution is hitting a wall—not because of ideas, talent, or data, .but because compute has become the new bottleneck. 🔗

The impact is real:. Delays in personalized cancer therapies 🧬.Slower rare disease diagnoses 🧒🏼.Bottlenecks in drug discovery pipelines 💊. Compute scarcity isn’t just a tech issue—it’s a barrier to life-saving innovation. ⏳.

Genomics breakthroughs aren’t just driven by discovery. They’re driven by compute. Training AI models for genomics now requires processing massive datasets and running trillions of operations per second. 🖥️🌊. Without enough compute, progress slows down.

🚨 Genomics is on the edge of a revolution. Rare diseases, cancer therapies, personalized medicine; all powered by AI. 🧬. But there’s a hidden bottleneck that few are talking about: compute scarcity. 🧵👇.