Provider Overview
Strengths & Best For
Exoscale is a Swiss cloud provider offering A100 and L40S GPU instances with strict Swiss privacy law and GDPR compliance, making it the premier on-demand GPU cloud for regulated industries requiring Swiss data sovereignty. Per-minute billing with no minimum commitment provides cost-efficient access to GPU compute for AI inference and training workloads in Swiss and EU data centers. The go-to choice for financial services, healthcare, and other regulated sectors that need GPU compute within Swiss jurisdiction.
- Swiss data sovereignty
- GDPR + Swiss privacy law
- Regulated industry focus
- EU/CH data centers
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
Live GPU Pricing
Region Coverage
Popular Comparisons
Exoscale — specialist provider
Exoscale is a Swiss cloud provider offering A100 and L40S GPU instances with strict Swiss privacy law and GDPR compliance, making it the premier on-demand GPU cloud for regulated industries requiring Swiss data sovereignty. Per-minute billing with no minimum commitment provides cost-efficient access to GPU compute for AI inference and training workloads in Swiss and EU data centers. The go-to choice for financial services, healthcare, and other regulated sectors that need GPU compute within Swiss jurisdiction.
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.
Billing model comparison
Exoscale uses a On-demand (per-minute) billing model with a minimum commitment of None. Packet AI 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
Exoscale is best suited for: Swiss/EU regulated workloads, GDPR-critical AI, Financial services AI. Its key strengths are swiss data sovereignty, gdpr + swiss privacy law, regulated industry focus. 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. 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
Exoscale offers Basic → Enterprise support across 2 regions (EU-Central, EU-West). Packet AI offers Standard support across 1 region (US). Exoscale's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Exoscale vs Packet AI
Exoscale was founded in 2011 and is headquartered in Lausanne, Switzerland. Packet AI was founded in 2023 and is headquartered in United States. Exoscale has 12 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.