CoreWeave
Best for Enterprise LLM Training, HPC, AI Inference at Scale

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.
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