
Koyeb
Best for Developers deploying containerized AI inference APIs without managing servers.

Best for Enterprise IT requiring automated, isolated bare-metal servers with high bandwidth.
PhoenixNAP is a global IT services provider that heavily focuses on Bare Metal Cloud computing. Their automated, API-driven bare metal infrastructure allows users to provision dedicated servers loaded with the latest NVIDIA GPUs in minutes. Because they own their global data centers, PhoenixNAP offers extreme network security, massive bandwidth, and highly competitive pricing for enterprise clients. It is highly favored by cybersecurity firms, large-scale game developers, and AI companies needing strict hardware isolation and high-throughput network configurations.
| GPU Models | A100, RTX A6000, L40S |
| GPU Types | A100, L40S, RTX A6000 |
| Headquarters | Phoenix, AZ |
| Founded | 2009 |
| Availability | Available Now |
| Website | phoenixnap.com ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
PhoenixNAP GPU cloud pricing starts from $1.50/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
PhoenixNAP offers A100, RTX A6000, L40S GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
PhoenixNAP operates data centers in Asia Pacific, EU, US. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to PhoenixNAP and other matching providers. You'll receive proposals within 24 hours — no commitment required.
PhoenixNAP offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

Best for Developers deploying containerized AI inference APIs without managing servers.

Best for Large enterprises requiring cloud-like consumption models but demanding that hardware remains physically on-premises.

Best for ML Notebooks, AI Model Development, Research, Computer Vision