Cloudflare
AvailableBest for Developers requiring global edge computing, zero cold start serverless functions, and instantaneous AI inference routing.
GPUs: Edge AI Inference, Serverless Compute
$0.15/hr
ViewUse Case
Best GPU Cloud for edge-computing (2026)
Compare 5 GPU cloud providers optimised for edge-computing. Get infrastructure recommendations, pricing benchmarks, and instant quotes.
Get Matched with Providers →GPU Cloud for edge-computing
Find the best GPU cloud providers for edge-computing workloads. Compare infrastructure requirements, pricing, and provider availability on ComputeStacker.
Infrastructure Requirements for edge-computing
- Sufficient GPU VRAM for your model
- Reliable uptime SLA
- Competitive pricing
- Good support
Recommended GPUs for edge-computing
H100, A100, RTX 4090 (depends on workload)
Cost Breakdown
Pricing varies by provider and GPU type. Use the comparison tool to find the best rates for your specific edge-computing workload.
How to Get Started with edge-computing on GPU Cloud
- Define your requirements: GPU type, VRAM, number of GPUs, storage, location
- Compare providers: Use ComputeStacker to filter by GPU type, region, and price
- Request quotes: Submit your requirements and get proposals within 24 hours
- Start small, scale fast: Begin with single-GPU testing before committing to larger clusters
5 Providers for edge-computing
Fly.io
AvailableBest for Containerized AI Applications, Low-Latency Edge Inference, Global Web Apps
GPUs: L40S, A100
$0.40/hr
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Dell APEX
AvailableBest for Large enterprises requiring cloud-like consumption models but demanding that hardware remains physically on-premises.
GPUs: H100, MI300X (via PowerEdge)
$3.00/hr
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Gcore
AvailableBest for Global AI Deployment, High-Performance Compute, Edge Inference
GPUs: H100, L40S, A100
$0.81/hr
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Akamai Connected Cloud
AvailableBest for Edge AI Inference, Media Transcoding, Low Latency Streaming
GPUs: RTX 4000 Ada, A100
$0.52/hr
ViewFrequently Asked Questions
The recommended GPU for edge-computing is: H100, A100, RTX 4090 (depends on workload). The best choice depends on your model size, budget, and latency requirements. ComputeStacker's comparison tool helps you match your workload to the right hardware.
Pricing varies by provider and GPU type. Use the comparison tool to find the best rates for your specific edge-computing workload.
ComputeStacker currently lists 5 providers with infrastructure suitable for edge-computing workloads. Use the filters to narrow by GPU type, location, and budget.
Yes — use ComputeStacker's quote request system. Describe your edge-computing requirements and receive proposals from multiple providers within 24 hours. No commitment required.