Spheron Network
Spheron Network is a decentralized compute network for deploying and scaling AI and web applications.
Pros
- Decentralized GPU compute network reduces infrastructure costs versus centralized cloud providers
- Supports AI model deployment and scaling
- Web application hosting on distributed infrastructure
Cons
- Decentralization may introduce consistency/support challenges
- Pricing and integration complexity for blockchain-based infrastructure not clearly documented
- Limited market adoption compared to AWS/GCP
Cost
Spheron rents GPUs by the hour in USD with per-minute billing and no minimum rental: on demand, an RTX 4090 with 24 GB is $0.53/hr, an RTX 5090 with 32 GB is $0.86/hr, an L40S with 48 GB is $0.96/hr, an A100 with 80 GB is $1.43/hr, an RTX PRO 6000 with 96 GB is $2.35/hr, an H100 with 80 GB is $2.64/hr, a GH200 with 96 GB is $3.02/hr and an H200 with 141 GB is $4.96/hr; spot rates come in lower at $0.86/hr for the L40S, $1.19/hr for the A100 and the RTX PRO 6000, $2.07/hr for the H100, $2.57/hr for the H200, $3.90/hr for a B200 with 192 GB and $5.81/hr for a B300 with 288 GB, while GB200, GB300 and R100 are reserve-only.
Verdict
Best for AI/ML teams and startups seeking cost-efficient GPU compute through decentralized infrastructure.
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