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

CentML is a unique neo-cloud provider focused heavily on machine learning compilation and software optimization. Instead of just renting raw…
CentML is a unique neo-cloud provider focused heavily on machine learning compilation and software optimization. Instead of just renting raw metal, CentML’s platform analyzes your AI workloads and automatically applies deep software optimizations, effectively making underlying GPUs perform significantly faster. By combining their optimization engine with access to high-end NVIDIA GPUs, CentML significantly reduces the time and cost required for training and fine-tuning models. It is ideal for ML engineering teams looking to maximize hardware utilization and lower cloud bills without rewriting code.
| GPU Models | H100, A100, L40S |
| GPU Types | A100, H100, L40S |
| Headquarters | Toronto, Canada |
| Founded | 2022 |
| Availability | Available Now |
| Website | centml.ai ↗ |
💡 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 →
CentML GPU cloud pricing starts from $1.80/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.
CentML offers H100, A100, L40S GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
CentML operates data centers in US East, US West. 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 CentML and other matching providers. You'll receive proposals within 24 hours — no commitment required.
CentML 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.

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