
Union.ai
Best for Enterprise ML and data engineering teams requiring heavy pipeline orchestration, complete reproducibility, and managed Kubernetes infrastructure.

Best for Researchers and 3D artists who require massive parallel compute for batch tasks and are comfortable using decentralized, Web3 infrastructure.
Golem Network is a pioneering decentralized computation protocol that connects users who need computing power with providers who have spare resources (from massive data centers to individual home PCs). By utilizing blockchain technology for micro-payments, Golem creates a massive, global supercomputer. It is incredibly effective for highly parallelizable tasks such as CGI rendering, scientific simulations, and custom Python scripts, offering compute power at a fraction of the cost of centralized hyperscalers.
| GPU Models | Decentralized CPU/GPU Grid |
| GPU Types | Decentralized CPU/GPU Grid |
| Headquarters | Zug, Switzerland |
| Founded | 2016 |
| Availability | Available Now |
| Website | golem.network ↗ |
💡 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 →
Golem Network GPU cloud pricing starts from $0.10/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.
Golem Network offers Decentralized CPU/GPU Grid GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Golem Network operates data centers in Global Decentralized Network. 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 Golem Network and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Golem Network 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.

Best for Enterprise ML and data engineering teams requiring heavy pipeline orchestration, complete reproducibility, and managed Kubernetes infrastructure.

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