Provider Overview
Strengths & Best For
Packet AI provides bare-metal L40S and H100 GPU servers with no virtualization overhead and straightforward on-demand billing, making it a cost-effective option for AI inference and training workloads that need dedicated hardware performance. Bare-metal configurations eliminate the latency and overhead of hypervisor layers, delivering consistent GPU throughput for production LLM inference and model deployment. A practical choice for teams that need dedicated GPU hardware without the complexity of managed cloud services.
- Competitive L40S pricing
- Bare metal performance
- No virtualisation overhead
- Simple billing
Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.
- Waste heat reuse
- Sustainable compute
- GDPR compliant
- Dutch presence
Live GPU Pricing
Region Coverage
Popular Comparisons
Packet AI — bare-metal provider
Packet AI provides bare-metal L40S and H100 GPU servers with no virtualization overhead and straightforward on-demand billing, making it a cost-effective option for AI inference and training workloads that need dedicated hardware performance. Bare-metal configurations eliminate the latency and overhead of hypervisor layers, delivering consistent GPU throughput for production LLM inference and model deployment. A practical choice for teams that need dedicated GPU hardware without the complexity of managed cloud services.
Leafcloud — specialist provider
Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.
Billing model comparison
Packet AI uses a On-demand billing model with a minimum commitment of None. Leafcloud 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
Packet AI is best suited for: Inference workloads, Cost-sensitive L40S users, Bare metal performance. Its key strengths are competitive l40s pricing, bare metal performance, no virtualisation overhead. Leafcloud is best suited for: Sustainability-focused teams, European AI workloads, GDPR-sensitive data. Its key strengths are waste heat reuse, sustainable compute, gdpr compliant. 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
Packet AI offers Standard support across 1 region (US). Leafcloud offers Standard support across 2 regions (NL, EU). Leafcloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Packet AI vs Leafcloud
Packet AI was founded in 2023 and is headquartered in United States. Leafcloud was founded in 2019 and is headquartered in Amsterdam, Netherlands. Leafcloud has 4 years more operational history than Packet AI, 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.