Paperspace by DigitalOcean
Best for ML Notebooks, AI Model Development, Research, Computer Vision

Kubernetes GPU Deployments, MLOps, Containerized AI
Radiant specializes in bridging the gap between heavy GPU compute and modern cloud-native orchestration. They provide a managed GPU cloud that is purpose-built for Kubernetes, allowing MLOps teams to seamlessly deploy, scale, and manage containerized AI workloads across high-performance NVIDIA hardware.
For engineering teams that already rely on Docker and Kubernetes, Radiant removes the headache of managing low-level GPU drivers and node provisioning, offering a scalable environment perfect for serving inference APIs or distributed training jobs.
| GPU Model | Instance Type | Rate |
|---|---|---|
| H100 | On-Demand | $0.80/hr ~$584 /mo |
| A100 | On-Demand | $1.60/hr ~$1,168 /mo |
| L40S | On-Demand | $0.80/hr ~$584 /mo |
| RTX A6000 | On-Demand | $0.96/hr ~$701 /mo |
Rates shown above are standard on-demand pricing. This provider offers spot instances, which can reduce your costs by 30-70% if your workload is interruptible. Request a custom enterprise quote →
| Current Availability | High / Instant Provisioning |
Scores are aggregated from community benchmarks, user reviews, and technical analysis of the provider's infrastructure stack.
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Radiant GPU pricing starts from $0.80/hr depending on GPU type, reservation model, and region.
Radiant offers H100, A100, L40S, RTX A6000 GPU instances.
Radiant operates in EU West, United Kingdom, US East.
Use the "Get a Quote" button to submit your requirements. You'll receive proposals within 24 hours — no commitment required.
Best for ML Notebooks, AI Model Development, Research, Computer Vision
Best for Bare Metal GPU, Low-Latency AI Inference, Global Edge AI Deployment
Best for LLM Training & Inference