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Cloudflare
Available NowBest for Developers requiring global edge computing, zero cold start serverless functions, and instantaneous AI inference routing.
Cloudflare has expanded far beyond its CDN origins, launching Cloudflare Workers and Workers AI to provide global, serverless edge compute. By running code and AI models in data centers across 300+ cities worldwide, Cloudflare eliminates cold starts and network latency. Developers can deploy serverless functions, massive distributed databases (D1), and inference for models like Llama 3 directly on the edge. It is the premier choice for ultra-low latency applications, high-performance global web applications, and scalable API gateways without managing complex infrastructure.
Pros & Cons
Pros
- Unmatched global network with ultra-low latency
- Zero cold starts for serverless workers
- Integrated edge AI inference capabilities
Cons
- Not designed for long-running heavy backend training
- Proprietary execution environment (V8 isolates)
Ideal Use Cases
edge-computingGlobal API RoutingServerless Inference
| GPU Models | Edge AI Inference, Serverless Compute |
| GPU Types | Edge AI Inference, Serverless Compute |
| Headquarters | San Francisco, CA |
| Founded | 2009 |
| Availability | Available Now |
| Website | cloudflare.com ↗ |
$0.15/ hour (starting)—$10.00/ hr (max)
💡 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 →
Global (300+ Edge Locations)
Starting from
$0.15/hr
Up to $10.00/hr
Frequently Asked Questions
Cloudflare GPU cloud pricing starts from $0.15/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.
Cloudflare offers Edge AI Inference, Serverless Compute GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Cloudflare operates data centers in Global (300+ Edge Locations). 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 Cloudflare and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Cloudflare 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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