Tired of paying $100/hour for GPUs on AWS?
Here’s why GPUnet might just replace traditional cloud for good.
A straight-up comparison 👇
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1. Cost
• GPUnet: ~70% cheaper than AWS (Barrels of Compute = $500 of power at 1/3rd the price).
• AWS / GCP / Azure: Extremely high hourly GPU costs, often unaffordable for startups and independent creators.
Why? GPUnet removes middlemen and uses a peer-to-peer marketplace.
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2. Accessibility
• GPUnet: Permissionless. Anyone can rent or provide GPUs.
• AWS / GCP / Azure: Require KYC, credit cards, and enterprise-level onboarding.
Why? GPUnet is built on-chain—open access for all.
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3. Decentralization
• GPUnet: Decentralized network of GPU providers, validators, and builders.
• AWS / GCP / Azure: Centralized servers run by corporations.
Why it matters: GPUnet can’t be shut down, censored, or monopolized.
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4. Incentives & Ownership
• GPUnet: Users earn $GPU by participating (validating, providing, building).
• AWS / GCP / Azure: You only pay—no ownership, no upside.
Why? GPUnet aligns economic incentives with usage.
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5. Innovation Layer
• GPUnet: Enables creation of Subnets – micro-economies of GPU-powered tools (bots, services, apps).
• AWS / GCP / Azure: You deploy, but don’t earn or get discovered unless you scale independently.
Why? GPUnet gives discoverability + built-in token economy.
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6. AI-Native Design
• GPUnet: Custom L1 chain (GANChain) designed for compute coordination and AI agent ecosystems.
• AWS / GCP / Azure: General-purpose cloud infrastructure, not optimized for decentralized agentic AI.
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If you want speed, cost-efficiency, ownership, and web3-native scale—GPUnet is your compute layer.
Big clouds are built for enterprises. GPUnet is built for creators, devs, and communities.