Today, we've released a Blueprint report on Spheron.
Spheron is a decentralized GPU compute marketplace designed to serve growing demand from AI.
Spheron aggregates idle GPUs from individuals, miners & data centers, creating an accessible, cost-efficient compute network 👇
GPU shortages and rising AI compute costs are locking out startups and researchers.
80% of AI startups cite GPU cost as a top obstacle.
.@SpheronFDN responds with on-chain leasing priced as low as $0.10/hr, up to 95% cheaper than AWS.
Spheron aggregates GPUs into a permissionless network using on-chain incentives.
Anyone can plug in their idle hardware and earn.
For developers, this unlocks on-demand compute at a fraction of AWS pricing.
Spheron uses a multi-node system:
- Provider Nodes for high-uptime compute
- Fizz Nodes for casual contributors
- Slark Nodes ensure uptime and performance
A matchmaking engine selects the optimal node using price, region, and reliability.
Smart contracts handle everything: escrowed payments, trustless bidding, and automatic lease execution.
Users deposit in $USDT/ $ETH/ $SPON and only pay for what they use.
Providers earn per block, and 20% of revenue feeds back into the protocol treasury.
Use cases go beyond AI model training:
→ Autonomous AI agents that pay for their own compute
→ Validator node hosting via Supernoderz
→ Cost-efficient rendering for 3D and VFX
→ Self-service infrastructure for Web3 dapps and AI workflows
In a world racing toward AI saturation, access to affordable compute is a bottleneck.
Spheron’s DePIN-native approach offers a scalable, censorship-resistant alternative, positioned to capture developer adoption where hyperscalers fall short.
If you found this thread informative, our @SpheronFDN Blueprint Report explores the protocol's architecture, how it stacks up against competitors, $SPON tokenomics, & more.
Access for free, no account needed 👇
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