Runcrate vs Voltage Park: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Runcrate and Voltage Park. Updated July 2026.
Provider Overview
Strengths & Best For
Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.
- 21 GPU types
- 11 global regions
- Very competitive pricing
- Bare metal + VM options
Voltage Park is a US GPU cloud specializing in large-scale H100 and H200 clusters with competitive on-demand pricing, targeting AI labs and enterprises that need reliable access to flagship NVIDIA hardware for LLM pre-training and distributed AI training. High availability and large cluster configurations make it a strong alternative to CoreWeave for organizations that need multi-node GPU infrastructure without long-term reserved commitments. A top choice for US-based AI teams running large-scale training workloads.
- Competitive H100/H200 pricing
- High availability
- Large cluster sizes
- US data residency
Live GPU Pricing
Region Coverage
Popular Comparisons
Runcrate — marketplace provider
Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.
Voltage Park — specialist provider
Voltage Park is a US GPU cloud specializing in large-scale H100 and H200 clusters with competitive on-demand pricing, targeting AI labs and enterprises that need reliable access to flagship NVIDIA hardware for LLM pre-training and distributed AI training. High availability and large cluster configurations make it a strong alternative to CoreWeave for organizations that need multi-node GPU infrastructure without long-term reserved commitments. A top choice for US-based AI teams running large-scale training workloads.
Billing model comparison
Runcrate uses a On-demand, Spot billing model with a minimum commitment of None. Voltage Park uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Runcrate is best suited for: Cost-sensitive teams, Multi-region deployments, Wide GPU variety needs. Its key strengths are 21 gpu types, 11 global regions, very competitive pricing. Voltage Park is best suited for: Large-scale AI training, H200 workloads, US-based teams. Its key strengths are competitive h100/h200 pricing, high availability, large cluster sizes. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.
Support tiers and region coverage
Runcrate offers Community → Standard support across 4 regions (EU-Central, US, APAC and 1 more). Voltage Park offers Standard → Enterprise support across 1 region (US). Runcrate's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Runcrate vs Voltage Park
Runcrate was founded in 2024 and is headquartered in Berlin, Germany. Voltage Park was founded in 2023 and is headquartered in San Francisco, CA. Voltage Park has 1 years more operational history than Runcrate, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.