io.net blog

Akash Network launched in 2020 as the "Airbnb for cloud compute”. In doing so, it pioneered the DePIN movement with a decentralized marketplace for spare CPU and storage capacity.  Fast forward to 2026. Akash now offers GPU support that enables it to compete in the exploding AI infrastructure market. But Akash’s CPU-first architecture and container-focused approach creates some fundamental limitations, especially for startups running large-scale AI training and inference. io.net was purpose-bu

See how Leonardo.Ai scaled from 14K to 19M users and cut GPU costs by over 50% using io.net's high-performance, affordable compute solution for generative AI.

If you’re currently scaling your AI product, you’ve probably noticed something rather unsettling: your infrastructure bill is growing faster than your product. Many startup teams are experiencing compute costs that consume 50-60% of their entire operating budget. That’s more than salaries for engineering, customer acquisition, and other team roles combined.  Let’s be clear: the economics of AI budgets are now, in an ironic feedback loop, threatening the stability of the entire AI sector. Don’t

Vistara Labs used io.net to scale its Zaara AI platform, building 5,600 apps in two months while cutting compute costs by 3x and achieving zero infrastructure failures.

Gensyn is well-known as the GPU solution for "research-first" and "protocol-first" AI developers. Built atop a custom Ethereum rollup, Gensyn is pioneering something genuinely novel: a fully decentralized, trustless network for machine learning computation, where workloads are verified and coordinated across any device on the planet. By any device, it could be consumer laptops, enterprise data center GPUs, gaming hardware, or even a Mac Mini with Apple Silicon chips (M1, M2, and M3), all without

Render Network has built a compelling reputation as the GPU solution for "creative-first" and "research-first" developers. With a decentralized marketplace for GPU compute, native support for Blender and Cinema 4D, and an expanding AI inference layer through its Dispersed subnet, Render Network is a strong fit for 3D artists, VFX studios, and AI/ML teams looking for cost-effective alternatives to centralized cloud providers. Render Network does this all without managing any raw compute infrastru

Your 2026 guide to building a purpose-built GPU cluster for AI. Includes TCO, vendor-agnostic benchmarks, hardware selection (H100/MI300X), and rollout plan.

Z.ai's GLM-4.7-Flash (30B MoE) is live on io.intelligence. Get the strongest 30B model for coding & reasoning with best-in-class performance-per-dollar.

Complete technical guide to decentralized compute: benchmarks, cost calculator, compliance checklist, and step-by-step migration from AWS/GCP.

io.net is utilizing the Solana blockchain for instant GPU payments, smart contract automation, and secure, decentralized cloud computing transactions.

Your 2026 guide to building a purpose-built GPU cluster for AI. Includes TCO, vendor-agnostic benchmarks, hardware selection (H100/MI300X), and rollout plan.

Complete technical guide to decentralized compute: benchmarks, cost calculator, compliance checklist, and step-by-step migration from AWS/GCP.

Learn what a GPU cluster is, how it differs from multi-GPU servers, and use our cost calculator to decide if you should build or rent one.

Discover io.net's Incentive Dynamic Engine (IDE): an adaptive tokenomics model bringing sustainable economics and predictable stability to decentralized GPU compute.

New io.net study shows consumer GPUs (RTX 4090) can cut AI inference costs by up to 75% for LLMs, enabling a sustainable, heterogeneous compute infrastructure.

Blockchain promised to solve centralization, but focused on wrong problems. DePIN networks like io.net finally deliver real value through affordable GPU access.