Together AI vs Runcrate: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Together AI and Runcrate. Updated July 2026.
Provider Overview
Strengths & Best For
Together AI provides dedicated H100 and A100 GPU clusters with fast networking, purpose-built for open-source LLM training, fine-tuning, and high-throughput AI inference. On-demand GPU cloud access is paired with a developer-friendly platform that supports popular open models out of the box, reducing time-to-deployment for AI teams. A strong choice for startups and researchers who want managed GPU infrastructure without hyperscaler overhead.
- Inference-optimized
- Open-source LLM support
- Fast networking
- Developer-friendly
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
Live GPU Pricing
Region Coverage
Popular Comparisons
Together AI — specialist provider
Together AI provides dedicated H100 and A100 GPU clusters with fast networking, purpose-built for open-source LLM training, fine-tuning, and high-throughput AI inference. On-demand GPU cloud access is paired with a developer-friendly platform that supports popular open models out of the box, reducing time-to-deployment for AI teams. A strong choice for startups and researchers who want managed GPU infrastructure without hyperscaler overhead.
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.
Billing model comparison
Together AI uses a On-demand, Reserved billing model with a minimum commitment of None. Runcrate uses On-demand, Spot 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
Together AI is best suited for: LLM inference, Fine-tuning open models, AI startups. Its key strengths are inference-optimized, open-source llm support, fast networking. 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. 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
Together AI offers Community → Enterprise support across 2 regions (US-East, US-West). Runcrate offers Community → Standard support across 4 regions (EU-Central, US, APAC and 1 more). Runcrate's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Together AI vs Runcrate
Together AI was founded in 2022 and is headquartered in San Francisco, CA. Runcrate was founded in 2024 and is headquartered in Berlin, Germany. Together AI has 2 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.