Runcrate vs Omega Gradient: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Runcrate and Omega Gradient. 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
Omega Gradient is a GPU cloud provider specialising in high-performance H100 SXM and A100 clusters optimised for large-scale AI training and fine-tuning workloads. On-demand and reserved instances are available with competitive per-GPU pricing and low-latency NVLink interconnects for multi-GPU jobs. A strong option for AI teams that need dedicated cluster access for distributed training without the overhead of hyperscaler pricing or complex procurement.
- Competitive H100 SXM pricing
- NVLink cluster interconnects
- Focused on training workloads
- Simple on-demand access
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.
Omega Gradient — specialist provider
Omega Gradient is a GPU cloud provider specialising in high-performance H100 SXM and A100 clusters optimised for large-scale AI training and fine-tuning workloads. On-demand and reserved instances are available with competitive per-GPU pricing and low-latency NVLink interconnects for multi-GPU jobs. A strong option for AI teams that need dedicated cluster access for distributed training without the overhead of hyperscaler pricing or complex procurement.
Billing model comparison
Runcrate uses a On-demand, Spot billing model with a minimum commitment of None. Omega Gradient uses On-demand, Reserved 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. Omega Gradient is best suited for: Large-scale AI training, LLM fine-tuning, Distributed multi-GPU jobs. Its key strengths are competitive h100 sxm pricing, nvlink cluster interconnects, focused on training workloads. 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). Omega Gradient offers Standard 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 Omega Gradient
Runcrate was founded in 2024 and is headquartered in Berlin, Germany. Omega Gradient was founded in 2023 and is headquartered in United States. Omega Gradient 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.