Lambda Labs vs UpCloud: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Lambda Labs and UpCloud. Updated July 2026.
Provider Overview
Strengths & Best For
Lambda Labs offers on-demand and reserved H100, A100, and RTX A6000 GPU instances with simple flat pricing and no egress fees — a refreshing contrast to hyperscaler complexity. Pre-configured PyTorch and TensorFlow environments mean researchers can start LLM training or fine-tuning in minutes without any setup overhead. A go-to on-demand GPU cloud for ML teams that want predictable hourly GPU rental costs without long-term commitments.
- Simple pricing
- Pre-configured ML stack
- No egress fees
- Jupyter notebooks included
UpCloud is a Finnish cloud provider known for its MaxIOPS storage and reliable infrastructure, now offering H100 and A100 GPU instances for AI and ML workloads across Finnish, EU, US, and APAC data centers. On-demand billing and a strong uptime track record make it a dependable choice for European teams that need GPU compute paired with high-performance storage for data-intensive AI training pipelines. A solid European GPU cloud for teams that value reliability and storage performance alongside GPU compute.
- MaxIOPS storage
- Reliable uptime
- European presence
- Competitive pricing
Live GPU Pricing
Region Coverage
Popular Comparisons
Lambda Labs — specialist provider
Lambda Labs offers on-demand and reserved H100, A100, and RTX A6000 GPU instances with simple flat pricing and no egress fees — a refreshing contrast to hyperscaler complexity. Pre-configured PyTorch and TensorFlow environments mean researchers can start LLM training or fine-tuning in minutes without any setup overhead. A go-to on-demand GPU cloud for ML teams that want predictable hourly GPU rental costs without long-term commitments.
UpCloud — specialist provider
UpCloud is a Finnish cloud provider known for its MaxIOPS storage and reliable infrastructure, now offering H100 and A100 GPU instances for AI and ML workloads across Finnish, EU, US, and APAC data centers. On-demand billing and a strong uptime track record make it a dependable choice for European teams that need GPU compute paired with high-performance storage for data-intensive AI training pipelines. A solid European GPU cloud for teams that value reliability and storage performance alongside GPU compute.
Billing model comparison
Lambda Labs uses a On-demand, Reserved (1yr/3yr) billing model with a minimum commitment of None (on-demand). UpCloud uses On-demand billing with a None minimum. Lambda Labs's no-commitment on-demand model is more flexible for short-term or experimental workloads, while UpCloud's commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
Lambda Labs is best suited for: ML researchers, Deep learning training, Teams wanting simplicity. Its key strengths are simple pricing, pre-configured ml stack, no egress fees. UpCloud is best suited for: European teams, Storage-intensive AI, Reliable inference. Its key strengths are maxiops storage, reliable uptime, european presence. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Lambda Labs offers Community → Enterprise support across 5 regions (us-east-1, us-west-1, us-west-3 and 2 more). UpCloud offers Standard support across 4 regions (FI, EU, US and 1 more). Lambda Labs's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Lambda Labs vs UpCloud
Lambda Labs was founded in 2012 and is headquartered in San Francisco, CA. UpCloud was founded in 2011 and is headquartered in Helsinki, Finland. UpCloud has 1 years more operational history than Lambda Labs, 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.