Spheron Network
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Thunder Compute
Available NowBest for Student Projects & Fine-tuning
Overview
Thunder Compute operates on a decentralized, marketplace model, aggregating consumer and prosumer GPU capacity from around the world. By bypassing traditional enterprise data center costs, they offer some of the absolute lowest prices available for AI compute.
Best Use Cases
At rates often well under $0.50 per hour for an RTX 3090 or 4090, Thunder Compute is the ultimate platform for students, independent researchers, and developers looking to perform LoRA fine-tuning or run inference on smaller models. However, because hardware is hosted by independent providers, it is not recommended for mission-critical enterprise deployments.
Pros & Cons
Pros
- Rock-bottom pricing
- Abundant consumer-grade GPUs
- Easy to deploy containers
Cons
- Lower reliability than tier-1 data centers
- Variable network speeds
Ideal Use Cases
Academic ResearchFine-Tuning
| GPU Models | RTX 3090, RTX 4090, A6000 |
| GPU Types | NVIDIA RTX Series |
| Headquarters | Distributed |
| Founded | 2024 |
| Availability | Available Now |
| Website | thundercompute.com ↗ |
$0.20/ hour (starting)—$1.50/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Global
Starting from
$0.20/hr
Up to $1.50/hr
Frequently Asked Questions
Thunder Compute GPU cloud pricing starts from $0.20/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Thunder Compute offers RTX 3090, RTX 4090, A6000 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Thunder Compute operates data centers in Global. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Thunder Compute and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Thunder Compute offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
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