JarvisLabs.ai
Best for AI Researchers, Students, Fast Prototyping, Stable Diffusion
from$0.19/ hr★ 9.5/10
Radiant
Available NowBest for Kubernetes GPU Deployments, MLOps, Containerized AI
About Radiant
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.
Streamlined AI Operations
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.
Pros & Cons
Pros
- Designed entirely around cloud-native and Kubernetes principles
- Provides unified access to GPU clusters across multiple regions
- Excellent for scaling complex microservices that require GPU acceleration
- Clean developer experience for MLOps pipelines
Cons
- Can be overkill for someone just wanting a single Jupyter notebook
- Pricing is slightly premium for the managed platform layer
- Smaller mindshare compared to CoreWeave or Lambda
Ideal Use Cases
AI InferenceFine-Tuningmlops
| GPU Models | H100, A100, L40S, RTX A6000 |
| GPU Types | A100, A6000, H100, L40S |
| Headquarters | London, UK |
| Founded | 2018 |
| Availability | Available Now |
| Website | radiant.co ↗ |
$0.80/ hour (starting)—$3.50/ 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 →
US
EU
Starting from
$0.80/hr
Up to $3.50/hr
Frequently Asked Questions
Radiant GPU cloud pricing starts from $0.80/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.
Radiant offers H100, A100, L40S, RTX A6000 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Radiant operates data centers in EU West, United Kingdom, US East. 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 Radiant and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Radiant 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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